GECCO 2019

Main Page Proceedings Companion Compilation Author Index



Companion Volume Table of Contents

Companion Volume Front Matter | Companion Volume Back Matter

Chair's Welcome
Anne Auger (GECCO 2019 General Chair
Inria and Ecole Polytechnique, France)
Thomas Stützle (GECCO 2019 General Chair
IRIDIA, Université libre de Bruxelles Belgium)





Competition Entry Workshop Papers
Competition Internet of Things - Online Event Detection for Drinking Water Quality Control Workshop Evolutionary Computation + Multiple Criteria Decision Making
Competition 100-Digit Challenge Workshop International Workshop on Learning Classifier Systems
Competition Evolutionary Computation in Uncertain Environments - A Smart Grid Application Workshop Evolutionary Data Mining and Optimization over Graphs
Competition AI Competition for the Legends of the Three Kingdoms Game Workshop Industrial Applications of Metaheuristics
Hot Off the Press Workshop Evolutionary Computation Software Systems
Late-Breaking Abstracts Workshop Decomposition Techniques in Evolutionary Optimization
Posters Workshop Landscape-Aware Heuristic Search
Ant Colony Optimization and Swarm Intelligence Workshop Evolutionary Algorithms for Problems with Uncertainty
Complex Systems (Artificial Life/… Workshop Interactive Methods
Digital Entertainment Technologies and Arts Workshop Evolutionary Computation for the Automated Design of Algorithms
Evolutionary Combinatorial Optimization an…. Workshop Evolutionary Computation for Permutation Problems
Evolutionary Machine Learning Workshop Surrogate-Assisted Evolutionary Optimisation
Evolutionary Multiobjective Optimization Workshop Genetic and Evolutionary Computation in Defense, Security, and Risk Management
Evolutionary Numerical Optimization Workshop Evolutionary Computation in Health Care and Nursing System
Genetic Algorithms Workshop Real-world Applications of Continuous and Mixed-integer Optimization
General Evolutionary Computation and Hybrids Workshop Genetic Improvement
Genetic Programming Workshop Real-world Applications of Continuous and Mixed-integer Optimization
Real World Applications Workshop Understanding Machine Learning Optimization Problems
Search-Based Software Engineering … Workshop Black Box Discrete Optimization Benchmarking
Theory Workshop Medical Applications of Genetic and Evolutionary Computation
Tutorials Workshop Visualisation Methods in Genetic and Evolutionary Computation
Introductory Tutorials Workshop Workshop on Evolutionary Algorithms for Smart Grids
Advanced Tutorials Workshop New Standards for Benchmarking in Evolutionary Computation Research
Specialized Tutorials Workshop Black-Box-Optimization Benchmarking
Workshop Computational Intelligence in Aerospace Science and Engineering
Student Workshop Papers



Competition Entry


Competition Internet of Things - Online Event Detection for Drinking Water Quality Control (back to top)

Monitoring of Drinking-water Quality by Means of a Multi-objective Ensemble Learning Approach (Page 1)
Victor Henrique Alves Ribeiro and Gilberto Reynoso Meza (Pontifical Catholic University of Parana)


Competition 100-Digit Challenge (back to top)

Self-Organizing Migrating Algorithm for the 100-Digit Challenge (Page 3)
Quoc Bao Diep and Ivan Zelinka (VSB - Technical University of Ostrava) and Swagatam Das (Indian Statistical Institute)

L-SHADE with an Adaptive Penalty Method of Balancing the Objective Value and the Constraint Violation (Page 5)
Takeshi Kawachi, Jun-ichi Kushida, Akira Hara, and Tetsuyuki Takahama (Hiroshima City University)

Hybrid-Adaptive Differential Evolution with Decay Function (HyDE-DF) Applied to the 100-Digit Challenge Competition on Single Objective Numerical Optimization (Page 7)
Fernando Lezama, Joao Soares, and Ricardo Faia (ISEP-GECAD) and Zita Vale (ISEP)

Helper and Equivalent Objectives Different Evolution for Constrained Optimisation (Page 9)
Tao Xu (Aberystwyth University), Jun He (Nottingham Trent University), and Changjing Shang (Aberystwyth University)

Function Evaluations Upto 1e+12 and Large Population Sizes Assessed in Distance-based Success History Differential Evolution for 100-Digit Challenge and Numerical Optimization Scenarios (DISHchain1e+12): A competition entry for "100-Digit Challenge, and Four Other Numerical Optimization Competitions" at The Genetic and Evolutionary Computation Conference (GECCO) 2019 (Page 11)
Aleš Zamuda (University of Maribor)


Competition Evolutionary Computation in Uncertain Environments - A Smart Grid Application (back to top)

CUMDANCauchy-C1: a Cellular EDA Designed to Solve the Energy Resource Management Problem Under Uncertainty (Page 13)
Yoan Martínez López (Universidad de Camagüey, Universidad Central de Las Villas); Ansel Yoan Rodríguez González (Unidad de Transferencia Tecnológica Tepic del Centro de Investigación Científica y de Educación Superior de Ensenada, Consejo Nacional de Ciencia y Tecnología); and Julio Madera Quintana, Alexis Moya, Bismay Morgado, and Miguel Betancourt Mayedo (Universidad de Camagüey)


Competition AI Competition for the Legends of the Three Kingdoms Game (back to top)

Solving Legends of the Three Kingdoms based on Hierarchical Macro Strategy Model (Page 15)
Youjie Zhang (Nanjing University of Posts and Telecommunications), Xiang Ding (Nanjing University of Aeronautics and Astronautics), and Zhi Chen (Nanjing University of Posts and Telecommunications)


Hot Off the Press

Gaussian Process Surrogate Models for the CMA-ES (Page 17)
Lukas Bajer (Cisco Systems, The Czech Academy of Sciences); Zbynek Pitra (The Czech Academy of Sciences, Czech Technical University); Jakub Repicky (Charles University, The Czech Academy of Sciences); and Martin Holena (The Czech Academy of Sciences)

A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics (Page hop114)
Steven Daniels (University of Exeter); Alma Rahat (University of Plymouth, University of Exeter); and Richard Everson, Gavin Tabor, and Jonathan Fieldsend (University of Exeter)

Combining Artificial Neural Networks and Evolution to Solve Multiobjective Knapsack Problems (Page 19)
Roman Denysiuk (CEA, LIST); António Gaspar-Cunha (University of Minho); and Alexandre C. B. Delbem (University of São Paulo)

Understanding Exploration and Exploitation Powers of Meta-heuristic Stochastic Optimization Algorithms through Statistical Analysis (Page 21)
Tome Eftimov (Jožef Stefan Institute, Stanford University) and Peter Korošec (Jožef Stefan Institute)

Guiding Neuroevolution with Structural Objectives (Page hop101)
Kai Olav Ellefsen (University of Oslo), Joost Huizinga (Uber AI Labs), and Jim Torresen (University of Oslo)

Generating Interpretable Reinforcement Learning Policies using Genetic Programming (Page 23)
Daniel Hein (Siemens AG, Technical University of Munich); Steffen Udluft (Siemens AG); and Thomas A. Runkler (Siemens AG, Technical University of Munich)

The (1+1)-EA with mutation rate (1+eps)/n is efficient on monotone functions: an entropy compression argument (Page 25)
Johannes Lengler, Anders Martinsson, and Angelika Steger (ETH Zurich)

Low-Dimensional Euclidean Embedding for Visualization of Search Spaces in Combinatorial Optimization (Page 27)
Krzysztof Michalak (Wroclaw University of Economics)

Discovering Test Statistics Using Genetic Programming (Page 29)
Jason H. Moore, Randal S. Olson, Yong Chen, and Moshe Sipper (University of Pennsylvania)

EBIC: a scalable biclustering method for large scale data analysis (Page 31)
Patryk Orzechowski (University of Pennsylvania, AGH University of Science and Technology) and Jason H. Moore (University of Pennsylvania)

Data-Driven Multi-Objective Optimisation of Coal-Fired Boiler Combustion System (Page hop113)
Alma Rahat (University of Plymouth, University of Exeter); Chunlin Wang (Hangzhou Dianzi University); and Richard Everson and Jonathan Fieldsend (University of Exeter)

A bi-level hybrid PSO – MIP solver approach to define dynamic tariffs and estimate bounds for an electricity retailer profit (Page 33)
Inês Soares (INESC Coimbra); Maria João Alves (INESC Coimbra, CeBER and FEUC); and Carlos Henggeler Antunes (INESC Coimbra and DEEC-UC)

Stochastic Program Synthesis via Recursion Schemes (Page 35)
Jerry Swan (University of York); Krzysztof Krawiec (Poznan University of Technology, Center for Artificial Intelligence and Machine Learning); and Zoltan A. Kocsis (University of Manchester)

Analysing Heuristic Subsequences for Offline Hyper-heuristic Learning (Page 37)
William B. Yates and Edward C. Keedwell (University of Exeter)

Hot Off the Press in Expert Systems on Underwater Robotic Missions: Success History Applied to Differential Evolution for Underwater Glider Path Planning (Page 39)
Aleš Zamuda (University of Maribor) and José Daniel Hernández Sosa (Universidad de Las Palmas de Gran Canaria)


Late-Breaking Abstract

A Two-Phase Genetic Algorithm for Incorporating Environmental Considerations with Production, Inventory and Routing Decisions in Supply Chain Networks (Page 41)
Adel Aazami and Ali Papi (Iran University of Science and Technology), Nader Azad (University of Ontario Institute of Technology), and Armin Jabbarzadeh (École de technologie supérieure)

Application of Estimation of Distribution Algorithm for Feature Selection (Page 43)
Mayowa Ayodele (University of Manchester, DWF)

Hybrid Estimation of Distribution Algorithm for solving a Resource Level Allocation Problem in a Legal Business (Page 45)
Mayowa Ayodele (University of Manchester, DWF); K.Nadia Papamichail (University of Manchester); and Darren Buckley and Geraldine Gallagher (DWF)

Beyond Coreset Discovery: Evolutionary Archetypes (Page 47)
Pietro Barbiero and Giovanni Squillero (Politecnico di Torino) and Alberto Tonda (INRA, Université Paris-Saclay)

Genetic Algorithms are Very Good Solved Sudoku Generators (Page 49)
Amit Benbassat (Sapir Academic College)

Stabilize Training Generative Adversarial Networks by Genetic Algorithms (Page 51)
Hwi-Yeon Cho and Yong-Hyuk Kim (Kwangwoon University)

Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms (Page 53)
J. Ignacio Hidalgo (Complutense University of Madrid), Ricardo Fernández Fernández (CSIC), Oscar Garnica (Universidad Complutense de Madrid), J. Manuel Colmenar (Universidad Rey Juan Carlos), Juan Lanchrares (Universidad Complutense de Madrid), and Gaspar Gónzalez-Docel (CSIC)

Skill Emergence and Transfer in Multi-Agent Environments (Page 55)
Ingmar Kanitscheider, Bowen Baker, Todor Markov, and Igor Mordatch (OpenAI)

Modelling and Solving the Combined Inventory Routing Problem with Risk Consideration (Page 57)
Ahmed Kheiri and Konstantinos Zografos (Lancaster University)

Integrating Agent Actions with Genetic Action Sequence Method (Page 59)
Man-Je Kim, Jun Suk Kim, and Donghyeon Lee (Gwangju Institute of Science and Technology); Sungjin James Kim and Min-jung Kim (LG Electronics); and Chang Wook Ahn (Gwangju Institute of Science and Technology)

Predictive Model for Epistasis-based Basis Evaluation on Pseudo-Boolean Function Using Deep Neural Networks (Page 61)
Yong-Hoon Kim, Junghwan Lee, and Yong-Hyuk Kim (Kwangwoon Univ.)

Parallel GPQUICK (Page 63)
W. Langdon (UCL)

Genetic Algorithm-based Feature Selection for Depression Scale Prediction (Page 65)
SeungJu Lee, Hyunji Moon, Dajung Kim, and Yourim Yoon (Gachon University)

Multidimensional Time Series Feature Engineering by Hybrid Evolutionary Approach (Page 67)
Piotr Lipinski (Computational Intelligence Research Group, Institute of Computer Science, University of Wroclaw) and Krzysztof Michalak (Department of Information Technologies, Institute of Business Informatics, Wroclaw University of Economics)

CE+EPSO: a Merged Approach to Solve SCOPF Problem (Page 69)
Carolina Gil Marcelino (UFRJ, PESC/COPPE); Leonel Magalhães Carvalho (INESC TEC); Vladimiro Miranda (INESC TEC, University of Porto); Armando da Silva (PUC-RIO); Carlos Eduardo Pedreira (UFRJ); and Elizabeth Fialho Wanner (Aston University)

On the automatic planning of healthy and balanced menus (Page 71)
Alejandro Marrero, Eduardo Segredo, and Coromoto Leon (Universidad de La Laguna)

EDA with Hamming Distance for Consumption-Loan Planning in Experimental Economics (Page 73)
Yukiko Orito (Hiroshima University) and Tomoko Kashima (Kindai Unviersity)

Towards Solving Neural Networks with Optimization Trajectory Search (Page 75)
Lia Tamaziyevna Parsenadze, Danilo Vasconcellos Vargas, and Toshiyuki Fujita (Kyushu University)

A Honeybee Mating Optimization Algorithm For Solving The Static Bike Rebalancing Problem (Page 77)
Mariem Sebai, Ezzeddine Fatnassi, and Lilia Rejeb (Institut supérieur de gestion de Tunis, Université de Tunis)

OINNIONN - Outward Inward Neural Network and Inward Outward Neural Network Evolution (Page 79)
Aviv Segev, Rituparna Datta, and Ryan Benton (University of South Alabama) and Dorothy Curtis (Massachusetts Institute of Technology)

Transfer of Evolutionary Computation Techniques to Synthetic Biology: Tests in Silico (Page 81)
Alexander V. Spirov (Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, Institute of Scientific Information for Social Sciences RAS) and Myasnikova Ekaterina (Peter the Great St.Petersburg Polytechnic University, Saint Petersburg)

Selective Pressure in Constrained Differential Evolution (Page 83)
Vladimir Vadimovich Stanovov, Shakhnaz Agasuvar kyzy Akhmedova, and Eugene Stanislavovich Semenkin (Reshetnev Siberian State University of Science and Technology)

Trajectory Optimization for Car Races using Genetic Algorithms (Page 85)
Dana Vrajitoru (Indiana University)

Probabilistic Grammar-based Deep Neuroevolution (Page 87)
Pak-Kan Wong (The Chinese University of Hong Kong), Man-Leung Wong (Lingnan University), and Kwong-Sak Leung (The Chinese University of Hong Kong)

Identifying Variable Interaction Using Mutual Information of Multiple Local Optima (Page 89)
Yapei Wu, Xingguang Peng, and Demin Xu (Northwestern Polytechnical University)

Predictability on Performance of Surrogate-assisted Evolutionary Algorithm According to Problem Dimension (Page 91)
Dong Pil Yu and yong hyuk kim (Kwangwoon Univ.)

Bi-objective optimal planning for emergency resource allocation in the maritime oil spill accident response phase under uncertainty (Page 93)
Guohai Zhu, Kewei Yang, Qingsong Zhao, and Zhiwei Yang (National University of Defense Technology)

A New Hybrid Ant Colony Algorithms for The Traveling Thief Problem (Page 95)
Wiem Zouari, Ines Alaya, and Moncef Tagina (National School of Computer Science)


Poster


Ant Colony Optimization and Swarm Intelligence (back to top)

Scaling ACO to Large-scale Vehicle Fleet Optimisation Via Partial-ACO (Page 97)
Darren M. Chitty, Elizabeth Wanner, Rakhi Parmar, and Peter R. Lewis (Aston University)
Supplemental Material:


Collaborative Diversity Control Strategy for Random Drift Particle Swarm Optimization (Page 99)
Chao Li and Jun Sun (Jiangnan University), Vasile Palade (Coventry University), and Qidong Chen and Wei Fang (Jiangnan University)
Supplemental Material:


Inferring Structure and Parameters of Dynamic Systems using Particle Swarm Optimization (Page 101)
Muhammad Usman, Abubakr Awad, Wei Pang, and George Macleod Coghill (University of Aberdeen)
Supplemental Material:



Complex Systems (Artificial Life/Artificial Immune Systems/Generative and Developmental Systems/Evolutionary Robotics/Evolvable Hardware) (back to top)

Learning to Select Mates in Artificial Life (Page 103)
Dylan Robert Ashley, Valliappa Chockalingam, Braedy Kuzma, and Vadim Bulitko (University of Alberta)
Supplemental Material: pos252s1-file2.zip


Positive Impact of Isomorphic Changes in the Environment on Collective Decision-Making (Page 105)
Palina Bartashevich and Sanaz Mostaghim (University of Magdeburg)
Supplemental Material:


Evolution of Cellular Automata Development Using Various Representations (Page 107)
Michal Bidlo (Brno University of Technology)
Supplemental Material:


HIT-EE: a Novel Embodied Evolutionary Algorithm for Low Cost Swarm Robotics (Page 109)
Nicolas Bredeche (Sorbonne Université)
Supplemental Material:


Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT (Page 111)
James John Butterworth, Rahul Savani, and Karl Tuyls (University of Liverpool)
Supplemental Material: pos233s1-file2.zip


Evaluation of Runtime Bounds for SELEX Procedure with High Selection Pressure (Page 113)
Anton Eremeev (Sobolev Institute of Mathematics SB RAS, The Institute of Scientific Information for Social Sciences RAS) and Alexander Spirov (I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry RAS, The Institute of Scientific Information for Social Sciences RAS)
Supplemental Material:


Are Quality Diversity Algorithms Better at Generating Stepping Stones than Objective-based Search? (Page 115)
Adam Gaier (Hochschule Bonn-Rhein-Sieg, Inria); Alexander Asteroth (Hochschule Bonn-Rhein-Sieg); and Jean-Baptiste Mouret (Inria, Université de Lorraine)
Supplemental Material:


Blending Notions of Diversity for MAP-Elites (Page 117)
Daniele Gravina, Antonios Liapis, and Georgios N. Yannakakis (Institute of Digital Games, University of Malta)
Supplemental Material:


Towards Continual Reinforcement Learning through Evolutionary Meta-Learning (Page 119)
Djordje Grbic and Sebastian Risi (IT University of Copenhagen)
Supplemental Material:


MAP-Elites for Noisy Domains by Adaptive Sampling (Page 121)
Niels Justesen and Sebastian Risi (IT University of Copenhagen) and Jean-Baptiste Mouret (Inria, LORIA; Université de Lorraine)
Supplemental Material:


Evolutionary Predator-prey Robot Systems: from simulation to real world (Page 123)
Gongjin Lan (Vrije Universiteit Amsterdam), Jiunhan Chen (University of Amsterdam), and Agoston Eiben (Vrije Universiteit Amsterdam)
Supplemental Material:


The Cost of Morphological Complexity (Page 125)
Geoff Nitschke, Danielle Nagar, and Alexander Furman (University of Cape Town)
Supplemental Material:


Comparing Encodings for Performance and Phenotypic Exploration in Evolving Modular Robots (Page 127)
Frank Veenstra (Edinburgh Napier University), Matteo De Carlo (Vrije Universiteit Amsterdam), Edgar Buchanan Berumen and Wei Li (University of York), Agoston E. Eiben (Vrije Universiteit Amsterdam), and Emma Hart (Edinburgh Napier University)
Supplemental Material: pos238s1-file2.zip



Digital Entertainment Technologies and Arts (back to top)

Solving Nurikabe with Ant Colony Optimization (Page 129)
Martyn Amos (Northumbria University) and Matthew Crossley and Huw Lloyd (Manchester Metropolitan University)
Supplemental Material:


Crowd-Sourcing the Sounds of Places with a Web-Based Evolutionary Algorithm (Page 131)
Alexander Edward Ian Brownlee (University of Stirling), Suk-Jun Kim (University of Aberdeen), Szu-Han Wang and Stella Chan (The University of Edinburgh), and Jamie Allan Lawson (University of Aberdeen)
Supplemental Material:


Free Form Evolution for Angry Birds Level Structures (Page 133)
Laura Calle Caraballo, Juan Julián Merelo Guervós, and Antonio Mora (Universidad de Granada) and Mario García Valdez (Instituto Tecnológico de Tijuana)
Supplemental Material:


Evolving Music with Emotional Feedback (Page 135)
Geoff Nitschke and Paul Cohen (University of Cape Town)
Supplemental Material:



Evolutionary Combinatorial Optimization and Metaheuristics (back to top)

Towards a Formal Specification of Local Search Neighborhoods from a Constraint Satisfaction Problem Structure (Page 137)
Mateusz Ślażyński (AGH University of Science and Technology); Salvador Abreu (University of Évora; LISP - Laboratório de Informática, Sistemas e Paralelismo); and Grzegorz Jacek Nalepa (AGH University of Science and Technology)
Supplemental Material:


Noisy Combinatorial Optimisation by Evolutionary Algorithms (Page 139)
.. Aishwaryaprajna and Jonathan E. Rowe (The University of Birmingham)
Supplemental Material:


Approaching the Quadratic Assignment Problem with Kernels of Mallows Models under the Hamming Distance (Page 141)
Etor Arza (Basque Center for Applied Mathematics), Josu Ceberio (University of the Basque Country), and Aritz Pérez and Ekhiñe Irurozki (Basque Center for Applied Mathematics)
Supplemental Material:


Optimizing Permutation-Based Problems With a Discrete Vine-Copula as a Model for EDA (Page 143)
Abdelhakim Cheriet (Kasdi Merbah University of Ouargla) and Roberto Santana (Intelligent Systems Group ISG, University of the Basque Country UPV/EHU)
Supplemental Material:


Simulated Annealing for the Single-Vehicle Cyclic Inventory Routing Problem (Page 145)
Aldy Gunawan (Singapore Management University), Vincent F. Yu (National Taiwan University of Science and Technology), Audrey Tedja Widjaja (Singapore Management University), and Pieter Vansteenwegen (KU Leuven)
Supplemental Material:


Decentralised Multi-Demic Evolutionary Approach to the Dynamic Multi-Agent Travelling Salesman Problem (Page 147)
Thomas Eliot Kent and Arthur Richards (University of Bristol)
Supplemental Material:


Ranking-based Discrete Optimization Algorithm for Asymmetric Competitive Facility Location (Page 149)
Algirdas Lancinskas and Julius Zilinskas (Vilnius University) and Pascual Fernandez and Blas Pelegrin (University of Murcia)
Supplemental Material:


Does Constraining the Search Space of GA Always Help? The Case of Balanced Crossover Operators (Page 151)
Luca Manzoni and Luca Mariot (Università degli Studi di Milano-Bicocca) and Eva Tuba (Singidunum University)
Supplemental Material: pos266s1-file2.zip


The Quadratic Assignment Problem: Metaheuristic optimization using HC12 Algorithm (Page 153)
Radomil Matousek, Ladislav Dobrovsky, and Jakub Kudela (Brno University of Technology)
Supplemental Material:


A Memetic Algorithm with Distance-guided Crossover: Distributed Data-intensive Web Service Composition (Page 155)
Soheila Sadeghiram, Hui Ma, and Gang Chen (Victoria University of Wellington)
Supplemental Material:



Evolutionary Machine Learning (back to top)

Identifying Idealised Vectors for Emotion Detection Using CMA-ES (Page 157)
Mohammed Ali A. Alshahrani, Spyridon Samothrakis, and Maria Fasli (University of Essex)
Supplemental Material:


Improving Classification Performance of Support Vector Machines via Guided Custom Kernel Search (Page 159)
Kumar Ayush and Abhishek Sinha (Adobe Inc.)
Supplemental Material: pos163s2-file2.zip


Differential Evolution for Instance based Transfer Learning in Genetic Programming for Symbolic Regression (Page 161)
Qi Chen, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
Supplemental Material:


Evolutionary Data Augmentation in Deep Face Detection (Page 163)
João Correia (Center for Informatics and Systems of the University of Coimbra; ULHT, Universidade Lusófona de Humanidades e Tecnologias) and Tiago Martins and Penousal Machado (Center for Informatics and Systems of the University of Coimbra)
Supplemental Material:


Evolutionarily-tuned support vector machines (Page 165)
Wojciech Dudzik, Michal Kawulok, and Jakub Nalepa (Silesian University of Technology)
Supplemental Material:


Using Genetic Programming for Combining an Ensemble of Local and Global Outlier Algorithms to Detect New Attacks (Page 167)
Gianluigi Folino (ICAR-CNR); Maryam Amir Haeri (Amirkabir University of Technology (); and Francesco Sergio Pisani, Luigi Pontieri, and Pietro Sabatino (ICAR-CNR)
Supplemental Material:


Multiobjective Multi Unit Type Neuroevolution for Micro in RTS Games (Page 169)
Aavaas Gajurel and Sushil J. Louis (University of Nevada, Reno)
Supplemental Material:


Nested Monte Carlo Search Expression Discovery for the Automated Design of Fuzzy ART Category Choice Functions (Page 171)
Marketa Illetskova, Islam Elnabarawy, Leonardo Enzo Brito da Silva, Daniel R. Tauritz, and Donald C. Wunsch II (Missouri University of Science and Technology)
Supplemental Material:


Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance (Page 173)
Ethan C. Jackson and Mark Daley (The University of Western Ontario, Vector Institute)
Supplemental Material: pos235s1-file2.zip


Multi-GPU approach for big data mining - global induction of decision trees (Page 175)
Krzysztof Jurczuk, Marcin Czajkowski, and Marek Kretowski (Bialystok University of Technology)
Supplemental Material:


Augmenting neuro-evolutionary adaptation with representations does not incur a speed accuracy trade-off (Page 177)
Douglas Kirkpatrick and Arend Hintze (Michigan State University)
Supplemental Material: pos277s1-file2.zip


Evolving Convolutional Neural Networks through Grammatical Evolution (Page 179)
Ricardo Henrique Remes Lima and Aurora Trinidad Ramirez Pozo (Federal University of Paraná)
Supplemental Material:


Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression (Page 181)
Marcus Märtens and Dario Izzo (European Space Agency)
Supplemental Material:


How XCS Can Prevent Misdistinguishing Rule Accuracy: A Preliminary Study (Page 183)
Masaya Nakata (Yokohama National University) and Will Browne (Victoria University of Wellington)
Supplemental Material:


Strategies for improving performance of evolutionary biclustering algorithm EBIC (Page 185)
Patryk Orzechowski (University of Pennsylvania, AGH University of Science and Technology) and Jason H. Moore (University of Pennsylvania)
Supplemental Material:


Reuse of Program Trees in Genetic Programming with a New Fitness Function in High-Dimensional Unbalanced Classification (Page 187)
Wenbin Pei and Bing Xue (Victoria University of Wellington), Lin Shang (Nanjing University), and Mengjie Zhang (Victoria University of Wellington)
Supplemental Material: pos177s1-file2.zip


Evolving Recurrent Neural Networks for Emergent Communication (Page 189)
Joshua David Sirota, Vadim Bulitko, Matthew R. G. Brown, and Sergio Poo Hernandez (University of Alberta)
Supplemental Material:


On the Potential of Evolution Strategies for Neural Network Weight Optimization (Page 191)
Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, and Mike Preuss (Leiden University)
Supplemental Material:



Evolutionary Multiobjective Optimization (back to top)

Preferences-based Multiobjective Virtual Machine Placement: A Ceteris Paribus Approach (Page 193)
Abdulaziz Saleh Alashaikh and Eisa Alanazi (Umm Al-Qura University)
Supplemental Material:


A Physarum-Inspired Competition Algorithm for Solving Discrete Multi-Objective Optimization Problems (Page 195)
Abubakr Awad, Muhammad Usman, David Lusseau, George Coghill, and Wei Pang (University of Aberdeen)
Supplemental Material:


On a restart metaheuristic for real-valued multi-objective evolutionary algorithms (Page 197)
Christina Brester and Ivan Ryzhikov (University of Eastern Finland, Reshetnev Siberian State University of Science and Technology); Eugene Semenkin (Reshetnev Siberian State University of Science and Technology); and Mikko Kolehmainen (University of Eastern Finland)
Supplemental Material:


Evolving Cooperation for the Iterated Prisoner's Dilemma (Page 199)
Jessica J. Finocchiaro (University of Colorado) and H. David Mathias (University of Wisconsin - La Crosse)
Supplemental Material:


A Component-wise Study of K-RVEA: Observations and Potential Future Developments (Page 201)
Ahsanul Habib, Hemant Kumar Singh, and Tapabrata Ray (The University of New South Wales)
Supplemental Material:


Towards a Novel NSGA-II-based Approach for Multi-objective Scientific Workflow Scheduling on Hybrid Clouds (Page 203)
Haithem Hafsi (National School of Computer Science (ENSI), Manouba University); Hamza Gharsellaoui (Khurmah University College, Taif University); and Sadok Bouamama (Higher College of Technology DMC, Dubai)
Supplemental Material:


Performance of Dynamic Algorithms on the Dynamic Distance Minimization Problem (Page 205)
Mardé Helbig (University of Pretoria) and Heiner Zille, Mahrokh Javadi, and Sanaz Mostaghim (Otto-von-Guericke University Magdeburg)
Supplemental Material:


A Decomposition-based EMOA for Set-based Robustness (Page 207)
Carlos Ignacio Hernández Castellanos and Sina Ober-Blöbaum (University of Oxford)
Supplemental Material:


Improved Binary Additive Epsilon Indicator for Obtaining Uniformly Distributed Solutions in Multi-Objective Optimization (Page 209)
Tatsumasa Ishikawa (Tokyo University of Agriculture and Technology); Hiroaki Fukumoto and Akira Oyama (Institute of Space and Astronautical Science, JAXA); and Hiroyuki Nishida (Tokyo University of Agriculture and Technology)
Supplemental Material:


Modified Crowding Distance and Mutation for Multimodal Multi-Objective Optimization (Page 211)
Mahrokh Javadi, Heiner Zille, and Sanaz Mostaghim (Otto von Guericke University Magdeburg)
Supplemental Material:


Many-View Clustering - An Illustration using Multiple Dissimilarity Measures (Page 213)
Adán José-García and Julia Handl (University of Manchester) and Wilfrido Gómez-Flores and Mario Garza-Fabre (CINVESTAV-IPN)
Supplemental Material: pos287s1-file2.pdf


Using Diversity as a Priority Function for Resource Allocation on MOEA/D (Page 215)
Yuri Lavinas, Claus Aranha, and Tetsuya Sakurai (University of Tsukuba)
Supplemental Material:


On Fairness as a Rostering Objective (Page 217)
Anna Lavygina (ServicePower, Manchester Metropolitan University) and Kristopher Welsh and Alan Crispin (Manchester Metropolitan University)
Supplemental Material:


Reliability-Based MOGA Design Optimization Using Probabilistic Response Surface Method and Bayesian Neural Network (Page 219)
Juhee Lim and Jongsoo Lee (Yonsei University)
Supplemental Material:


A New Constrained Multi-objective Optimization Problems Algorithm Based on Group-sorting (Page 221)
Yijun Liu, Xin Li, and Qijia Hao (Xidian University)
Supplemental Material:


Optimisation of Crop Configuration using NSGA-III with Categorical Genetic Operators (Page 223)
Oskar Marko, Dejan Pavlović, and Vladimir Crnojević (BioSense Institute) and Kalyanmoy Deb (Michigan State University)
Supplemental Material:


Operational Decomposition for Large Scale Multi-objective Optimization Problems (Page 225)
Luis Miguel Antonio (CINVESTAV-IPN); Carlos A. Coello Coello (CINVESTAV); and Silvia González Brambila, Josué Figueroa González, and Guadalupe Castillo Tapia (UAM Azcapotzalco)
Supplemental Material:


Studying Compartmental Models Interpolation to Estimate MOEAs Population Size (Page 227)
Hugo Monzón and Hernán Aguirre (Shinshu University); Sébastien Verel (Univ. Littoral Cote d’Opale); Arnaud Liefooghe and Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe); and Kiyoshi Tanaka (Shinshu University)
Supplemental Material:


Generation Techniques and a Novel On-line Adaptation Strategy for Weight Vectors Within Decomposition-Based MOEAs (Page 229)
Alberto Rodríguez Sánchez, Antonin Ponsich, and Antonio López Jaimes (Universidad Autónoma Metropolitana)
Supplemental Material:


Enhanced Optimization with Composite Objectives and Novelty Pulsation (Page 231)
Hormoz Shahrzad and Babak Hodjat (Cognizant); Camille Dolle, Andrei Denissov, and Simon Lau (Sentient Investment Management); Donn Goodhew and Justin Dyer (Sentient Investment Managment); and Risto Miikkulainen (The University of Texas at Austin)
Supplemental Material:


A Parametric Investigation of PBI and AASF Scalarizations (Page 233)
Hemant K. Singh (University of New South Wales) and Kalyanmoy Deb (Michigan State University)
Supplemental Material:


Classical MOEAs for solving a multi-objective problem of supply chain design and operation (Page 235)
Ángel David Téllez Macías, Antonin Ponsich, and Roman Anselmo Mora Gutíerrez (Universidad Autónoma Metropolitana)
Supplemental Material:


Noisy Multiobjective Black-Box Optimization using Byesian Optimization (Page 239)
Hongyan Wang and Hua Xu (Tsinghua University), Yuan Yuan (Michigan State University), and Junhui Deng and Xiaomin Sun (Tsinghua University)
Supplemental Material:


Balancing Exploration and Exploitation in Multiobjective Batch Bayesian Optimization (Page 237)
Hongyan Wang and Hua Xu (Tsinghua University), Yuan Yuan (Michigan State University), and Xiaomin Sun and Junhui Deng (Tsinghua University)
Supplemental Material:


An a priori Knee Identification Multi-objective Evolutionary Algorithm Based on α-Dominance (Page 241)
Guo Yu and Yaochu Jin (Department of Computer Science of University of Surrey) and Markus Olhofer (Honda Research Institute Europe GmbH)
Supplemental Material:



Evolutionary Numerical Optimization (back to top)

Solving Optimization Problems with High Conditioning by Means of Online Whitening (Page 243)
Samineh Bagheri and Wolfgang Konen (TH Köln – University of Applied Sciences) and Thomas Bäck (Leiden Institute of Advanced Computer Science (LIACS))
Supplemental Material:


Exploitation of Multiple Surrogate Models in Multi-Point Infill Sampling Strategies (Page 245)
Paul Beaucaire, Charlotte Beauthier, and Caroline Sainvitu (Cenaero)
Supplemental Material:


On Equivalence of Algorithm's Implementations: The CMA-ES Algorithm and Its Five Implementations (Page 247)
Rafał Biedrzycki (Institute of Computer Science, Warsaw University of Technology)
Supplemental Material:


Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes (Page 249)
Leo Cazenille (Ochanomizu University)
Supplemental Material:


Empirical Evaluation of Contextual Policy Search with a Comparison-based Surrogate Model and Active Covariance Matrix Adaptation (Page 251)
Alexander Fabisch (DFKI GmbH, Robotics Innovation Center)
Supplemental Material: pos174s1-file2.pdf


Evaluating MAP-Elites on Constrained Optimization Problems (Page 253)
Stefano Fioravanzo (University of Trento, Fondazione Bruno Kessler) and Giovanni Iacca (University of Trento)
Supplemental Material: pos187s1-file2.zip


A New Neighborhood Topology for QUAntum Particle Swarm Optimization (QUAPSO) (Page 255)
Arnaud Flori, Hamouche Oulhadj, and Patrick Siarry (UPEC)
Supplemental Material:


Extended Stochastic Derivative-Free Optimization on Riemannian manifolds (Page 257)
Robert Simon Fong and Peter Tino (University of Birmingham)
Supplemental Material:


An Analysis of Control Parameters of Copula-based EDA Algorithm with Model Migration (Page 259)
Martin Hyrš and Josef Schwarz (Faculty of Information Technology, Brno University of Technology)
Supplemental Material:


Limitations of benchmark sets and landscape features for algorithm selection and performance prediction (Page 261)
Benjamin Lacroix and John McCall (Robert Gordon University)
Supplemental Material:


On the use of Metaheuristics in Hyperparameters Optimization of Gaussian Processes (Page 263)
Pramudita Satria Palar and Lavi Rizki Zuhal (Institut Teknologi Bandung) and Koji Shimoyama (Tohoku University)
Supplemental Material:


On the Non-convergence of Differential Evolution: Some Generalized Adversarial Conditions and A Remedy (Page 265)
Debolina Paul, Saptarshi Chakraborty, and Swagatam Das (Indian Statistical Institute) and Ivan Zelinka (VSB-TU Ostrava)
Supplemental Material:


Openly Revisiting Derivative-Free Optimization (Page 267)
Jeremy Rapin, Pauline Luc, Jules Pondard, and Nicolas Vasilache (Facebook); Marie-Liesse Cauwet (Ecole des mines de Saint-Etienne); and Camille Couprie and Olivier Teytaud (Facebook)
Supplemental Material:


Investigating the Effects of Population Size and the Number of Subcomponents on the Performance of SHADE Algorithm with Random Adaptive Grouping for LSGO Problems (Page 269)
Evgenii Sopov and Alexey Vakhnin (Reshetnev Siberian State University of Science and Technology)
Supplemental Material:


Benchmarking the region learning-based JADE on noiseless functions (Page 271)
Mingcheng Zuo (China University of Geosciences, University of Bologna); Guangming Dai, Lei Peng, and Maocai Wang (China University of Geosciences); and Pan Peng and Changchun Chen (Shanghai Institute of Satellite Engineering)
Supplemental Material:


A new mutation operator with the ability to adjust exploration and exploitation for DE algorithm (Page 273)
Mingcheng Zuo (China University of Geosciences, University of Bologna)
Supplemental Material:


GECCO Black-Box Optimization Competitions: Progress from 2009 to 2018 (Page 275)
Urban Škvorc (Jožef Stefan Institute, Jožef Stefan International Postgraduate School); Tome Eftimov (Jožef Stefan Institute); and Peter Korošec (Jožef Stefan Institute, University of Primorska)
Supplemental Material:



Genetic Algorithms (back to top)

The 1/5-th Rule with Rollbacks: On Self-Adjustment of the Population Size in the $(1+(\lambda,\lambda))$~GA (Page 277)
Anton Bassin and Maxim Buzdalov (ITMO University)
Supplemental Material:


Approximate Search in Dissimilarity Spaces using GA (Page 279)
David Bernhauer (Faculty of Information Technology, Czech Technical University in Prague) and Tomáš Skopal (Faculty of Mathematics and Physics, Charles University)
Supplemental Material:


A Parallel Multi-Population Biased Random-Key Genetic Algorithm for Electric Distribution Network Reconfiguration (Page 281)
Haroldo De Faria Jr. (Federal University of ABC) and Willian Tessaro Lunardi and Holger Voos (University of Luxembourg)
Supplemental Material:


Genealogical Patterns in Evolutionary Algorithms (Page 283)
Carlos Fernandes (University of Lisbon), Juan Laredo (University of Le Havre), Juan Julián Merelo (University of Granada), and Agostinho Rosa (University of Lisbon)
Supplemental Material:


A Change Would Do You Good: GA-based Approach for Hiding Data in Program Executables (Page 285)
Ryan C. Gabrys and Luis Martinez (NIWC Pacific)
Supplemental Material:


A BRKGA for the Integrated Scheduling Problem in FMSs (Page 287)
S. Mahdi Homayouni (INESC TEC); Dalila B.M.M. Fontes (INESC TEC; Faculdade de Economia, Universidade do Porto); and Fernando A.C.C. Fontes (SYSTEC - ISR; Faculdade de Engenharia, Universidade do Porto)
Supplemental Material:


Parameter-less, Population-sizing DSMGA-II (Page 289)
Marcin Michal Komarnicki and Michal Witold Przewozniczek (Wroclaw University of Science and Technology)
Supplemental Material:


Genetic Algorithms as Shrinkers in Property-Based Testing (Page 291)
Fang-Yi Lo (National Chiao Tung University), Chao-Hong Chen (Indiana University), and Ying-ping Chen (National Chiao Tung University)
Supplemental Material:


Runtime Analysis of Abstract Evolutionary Search with Standard Crossover (Page 293)
Tina Malalanirainy and Alberto Moraglio (University of Exeter)
Supplemental Material: pos190s1-file2.zip


Latin Hypercube Initialization Strategy for Design Space Exploration of Deep Neural Network Architectures (Page 295)
Heitor Rapela Medeiros and Diogo Moury Fernandes Izidio (Federal University of Pernambuco, Center for Strategic Technologies of the Northeast); Antonyus Pyetro do Amaral Ferreira (Center for Strategic Technologies of the Northeast); and Edna Natividade da Silva Barros (Center of Informatics of the Federal University of Pernambuco, Centro de Tecnologias Estrategicas do Nordeste)
Supplemental Material: pos162s2-file2.zip


Multiple World Genetic Algorithm to Analyze Individually Advantageous Behaviors in Complex Networks (Page 297)
Yutaro Miura (Waseda University), Fujio Toriumi (The University of Tokyo), and Toshiharu Sugawara (Waseda University)
Supplemental Material:


A Study of the Levy Distribution in Generation of BRKGA Random Keys Applied to Global Optimization (Page 299)
Mariana Alves Moura and Ricardo Martins de Abreu Silva (Universidade Federal de Pernambuco)
Supplemental Material:


A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation (Page 300)
Takumi Nakane (University of Fukui), Takuya Akashi (University of Iwate), Xuequan Lu (Deakin University), and Chao Zhang (University of Fukui)
Supplemental Material:


A Group Work Inspired Generation Alternation Model of Real-Coded GA (Page 302)
Takatoshi Niwa, Koya Ihara, and Shohei Kato (Nagoya Institute of Technology)
Supplemental Material:


Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data? (Page 304)
Patryk Orzechowski (University of Pennsylvania, AGH University of Science and Technology) and Jason H. Moore (University of Pennsylvania)
Supplemental Material:


Island Model for Parallel Evolutionary Optimization of Spiking Neuromorphic Computing (Page 306)
Catherine Schuman (Oak Ridge National Laboratory), James Plank (University of Tennessee), and Robert Patton and Thomas Potok (Oak Ridge National Laboratory)
Supplemental Material:


Evolving to Recognize High-dimensional Relationships in Data: GA Operators and Representation Designed Expressly for Community Detection (Page 308)
Kenneth Smith, Cezary Janikow, and Sharlee Climer (University of Missouri-St. Louis)
Supplemental Material:


Comparison of GAs in Black-Box Scenarios: Use-Case Specific Analysis (Page 310)
Cheng Hao Yang, Hou Teng Cheong, and Tian-Li Yu (National Taiwan University)
Supplemental Material:


Parameter-less Population Pyramid with Automatic Feedback (Page 312)
Adam Mikolaj Zielinski, Marcin Michal Komarnicki, and Michal Witold Przewozniczek (Wroclaw University of Science and Technology)
Supplemental Material:



General Evolutionary Computation and Hybrids (back to top)

AlphaStar: An Evolutionary Computation Perspective (Page 314)
Kai Arulkumaran and Antoine Cully (Imperial College London) and Julian Togelius (New York University)
Supplemental Material:


Evolved Cellular Automata for Edge Detection (Page 316)
Alina Enescu, Anca Andreica, and Laura Dioșan (Babes-Bolyai University)
Supplemental Material:


Can Route Planning be Smarter with Transfer Optimization? (Page 318)
Ray Lim and Yew-Soon Ong (Nanyang Technological University), Hanh Thi Hong Phan (Teko Vietnam), and Abhishek Gupta and Allan Nengsheng Zhang (SIMTech)
Supplemental Material:


Improving the algorithmic efficiency and performance of channel-based evolutionary algorithms (Page 320)
JJ Merelo (University of Granada), Juan-Luis Jiménez Laredo (Le Havre University), Pedro Castillo-Valdivieso (University of Granada), Mario García-Valdez (Instituto Tecnológico de Tijuana), and Sergio Rojas (Universidad Distrital Colombia)
Supplemental Material:


Textonboost based on Differential Evolution (Page 322)
Keiko Ono and Daisuke Tawara (Ryukoku University) and Yoshiko Hanada (Kansai University)
Supplemental Material:


A Hybrid Between a Surrogate-Assisted Evolutionary Algorithm and a Trust Region Method for Constrained Optimization (Page 324)
Rommel G. Regis (Saint Joseph's University, Department of Mathematics)
Supplemental Material:


Comparing Terminal Sets for Evolving CMA-ES Mean-Update Selection (Page 326)
Samuel N. Richter, Michael G. Schoen, and Daniel R. Tauritz (Missouri University of Science and Technology)
Supplemental Material:


A Population Entropy Based Adaptation Strategy for Differential Evolution (Page 330)
Yanyun Zhang (School of Computer, China University of Geosciences); Guangming Dai (School of Computer, China University of Geosciences; Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences); Mingcheng Zuo (School of Computer, China University of Geosciences); Lei Peng and Maocai Wang (School of Computer, China University of Geosciences; Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences); and Zhengquan Liu (Shanghai Institute of Satellite Engineering)
Supplemental Material:


A Classification-Based Selection for Evolutionary Optimization (Page 328)
Jinyuan Zhang and Jimmy Xiangji Huang (York University) and Qinmin Vivian Hu (Ryerson University)
Supplemental Material:



Genetic Programming (back to top)

A Genetic Programming Approach to Feature Selection and Construction for Ransomware, Phishing and Spam Detection (Page 332)
Harith Al-Sahaf and Ian Welch (Victoria University of Wellington)
Supplemental Material:


Genetic Programming Hyper-Heuristic with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem (Page 334)
Mazhar Ansari Ardeh, Yi Mei, and Mengjie Zhang (Victoria University of Wellington)
Supplemental Material:


To Adapt or Not to Adapt, or The Beauty of Random Settings (Page 336)
João E. Batista, Nuno M. Rodrigues, and Sara Silva (University of Lisbon)
Supplemental Material:


Parsimony Measures in Multi-objective Genetic Programming for Symbolic Regression (Page 338)
Bogdan Burlacu, Gabriel Kronberger, and Michael Kommenda (University of Applied Sciences Upper Austria, Josef Ressel Centre for Symbolic Regression) and Michael Affenzeller (University of Applied Sciences Upper Austria, Heuristic and Evolutionary Algorithms Laboratory)
Supplemental Material: pos262s1-file2.zip


Increasing Genetic Programming Robustness using Simulated Dunning-Kruger Effect (Page 340)
Thomas David Griffiths (Aston University)
Supplemental Material:


Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods (Page 342)
Jakub Husa (Brno University of Technology, Faculty of Information Technology)
Supplemental Material:


Investigating the Use of Linear Programming to Solve Implicit Symbolic Regression Problems (Page 344)
Quang Nhat Huynh, Hemant K. Singh, and Tapabrata Ray (The University of New South Wales)
Supplemental Material:


Tag-accessed Memory for Genetic Programming (Page 346)
Alexander Michael Lalejini and Charles Ofria (Michigan State University)
Supplemental Material: pos118s2-file2.zip


Space Partition based Gene Expression Programming for Symbolic Regression (Page 348)
Qiang Lu, Shuo Zhou, Fan Tao, and Zhiguang Wang (China University of Petroleum)
Supplemental Material:


Transfer Learning: A Building Block Selection Mechanism in Genetic Programming for Symbolic Regression (Page 350)
Brandon Muller, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
Supplemental Material:


Automated Design of Random Dynamic Graph Models for Enterprise Computer Network Applications (Page 352)
Aaron Scott Pope and Daniel R. Tauritz (Missouri University of Science and Technology) and Chris Rawlings (Los Alamos National Laboratory)
Supplemental Material:


Semantic Fitness Function in Genetic Programming Based on Semantics Flow Analysis (Page 354)
Pak-Kan Wong (The Chinese University of Hong Kong), Man-Leung Wong (Lingnan University), and Kwong-Sak Leung (The Chinese University of Hong Kong)
Supplemental Material:


Multimodal Genetic Programming Using Program Similarity Measurement and Its Application to Wall-Following Problem (Page 356)
Shubu Yoshida, Tomohiro Harada, and Ruck Thawonmas (Ritsumeikan University)
Supplemental Material:



Real World Applications (back to top)

Efficient Frontiers in Portfolio Optimisation with Minimum Proportion Constraints (Page 358)
Tahani Alotaibi and Matthew Craven (University of Plymouth)
Supplemental Material:


Genetic Algorithms for the Network Slice Design Problem Under Uncertainty (Page 360)
Thomas Bauschert and Varun S. Reddy (Technische Universität Chemnitz)
Supplemental Material:


Phoneme Aware Speech Recognition through Evolutionary Optimisation (Page 362)
Jordan J. Bird, Elizabeth Wanner, Anikó Ekárt, and Diego R. Faria (Aston University)
Supplemental Material:


Bond Strength Prediction of FRP-bar Reinforced Concrete: A Multi-gene Genetic Programming Approach (Page 364)
Hamed Bolandi, Wolfgang Banzhaf, and Nizar Lajnef (Michigan State University) and Kaveh Barri and Amir. H. Alavi (University of Missouri)
Supplemental Material:


Multi-objective genetic algorithms for reducing mark read-out effort in lithographic tests (Page 365)
Pierluigi Frisco and Timo Bootsma (ASML) and Thomas Bäck (Leiden University)
Supplemental Material:


A Genetic Algorithm based Column Generation Method for Multi-Depot Electric Bus Vehicle Scheduling (Page 367)
Congcong Guo, Chunlu Wang, and Xingquan Zuo (Beijing University of Posts and Telecommunications)
Supplemental Material:


A Genetic Algorithm for Multi-Robot Routing in Automated Bridge Inspection (Page 369)
Nicholas S. Harris and Sushil Louis (University of Nevada), Siming Liu (Missouri State University), and Hung La (University of Nevada)
Supplemental Material:


On the Use of Context Sensitive Grammars in Genetic Programming For Legal Non-Compliance Detection (Page 371)
Carl Im (Iolex) and Erik Hemberg (MIT)
Supplemental Material:


EvoIsland: Immersive Interactive Evolutionary 3D Modelling (Page 373)
Alexander Ivanov and Christian Jacob (University of Calgary)
Supplemental Material: pos245s1-file2.mp4


Optimal Equipment Assignment for Oil Spill Response Using a Genetic Algorithm (Page 375)
Hye-Jin Kim and Junghwan Lee (Kwangwoon Univ.), Jong-Hwui Yun (Korea Maritime and Ocean Univ.), and Yong-Hyuk Kim (Kwangwoon Univ.)
Supplemental Material:


Impact of subcircuit selection on the efficiency of CGP-based optimization of gate-level circuits (Page 377)
Jitka Kocnova and Zdenek Vasicek (Brno University of Technology)
Supplemental Material:


Discovery of Robust Protocols for Secure Quantum Cryptography (Page 379)
Walter Oliver Krawec and Sam A. Markelon (University of Connecticut)
Supplemental Material:


Enhancing Classification Performance of Convolutional Neural Networks for Prostate Cancer Detection on Magnetic Resonance Images: a Study with the Semantic Learning Machine (Page 381)
Paulo Lapa (NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa); Ivo Gonçalves (INESC Coimbra, DEEC, University of Coimbra); Leonardo Rundo (University of Cambridge, Department of Radiology); and Mauro Castelli (NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa)
Supplemental Material:


Evolving Planar Mechanisms for the Conceptual Stage of Mechanical Design (Page 383)
Paul Lapok, Alistair Lawson, and Ben Paechter (Edinburgh Napier University)
Supplemental Material: pos292s1-file2.zip


Benchmarking Genetic Programming in Dynamic Insider Threat Detection (Page 385)
Duc C. Le, Malcolm I. Heywood, and Nur Zincir-Heywood (Dalhousie University)
Supplemental Material:


Multi-Objective Collective Search and Movement-based Metrics in Swarm Robotics (Page 387)
Sebastian Mai, Heiner Zille, Christoph Steup, and Sanaz Mostaghim (Otto von Guericke University Magdeburg)
Supplemental Material:


Evolutionary Optimization of Epidemic Control Strategies for Livestock Disease Prevention (Page 389)
Krzysztof Michalak (Wroclaw University of Economics)
Supplemental Material:


Optimization of chemical structures for seawater desalination (Page 391)
Kyo Migishima (Shinshu University); Takahiro Fuji (Hitachi Management Partner); and Hernán Aguirre, Rodolfo Cruz-Silva, and Kiyoshi Tanaka (Shinshu University)
Supplemental Material:


Evolving Optimal Sun-Shading Building Façades (Page 393)
Geoff Nitschke and Leon Coetzee (University of Cape Town)
Supplemental Material:


On the Design of S-box Constructions with Genetic Programming (Page 395)
Stjepan Picek (Delft University of Technology) and Domagoj Jakobovic (University of Zagreb)
Supplemental Material:


Solving the First and Last Mile Problem with Connected and Autonomous Vehicles (Page 397)
Alma A. M. Rahat (University of Plymouth), Ralph Ledbetter (University of Exeter), Alex Dawn and Robert Byrne (City Science), and Richard Everson (University of Exeter)
Supplemental Material: pos159s2-file2.pdf


Feature Selection for Surrogate Model-Based Optimization (Page 399)
Frederik Rehbach, Lorenzo Gentile, and Thomas Bartz-Beielstein (TH Koeln)
Supplemental Material:


Evolutionary refinement of the 3D structure of multi-domain protein complexes from small angle X-ray scattering data (Page 401)
Olga Rudenko, Aurelien Thureau, and Javier Perez (Synchrotron Soleil)
Supplemental Material:


Neural Network-Based Multiomics Data Integration in Alzheimer’s Disease (Page 403)
Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, and Marylyn D. Ritchie (University of Pennsylvania)
Supplemental Material:


Neural-Network Assistance to Calculate Precise Eigenvalue for Fitness Evaluation of Real Product Design (Page 405)
Yukito Tsunoda, Takahiro Notsu, Yasufumi Sakai, Naoki Hamada, Toshihiko Mori, Teruo Ishihara, and Atsuki Inoue (Fujitsu Laboratories Ltd.)
Supplemental Material:


Graph-based Multi-Objective Generation of Customised Wiring Harnesses (Page 407)
Jens Weise (Volkswagen AG, Otto-von-Guericke-University Magdeburg); Steven Benkhardt (MHP Management- und IT-Beratung GmbH); and Sanaz Mostaghim (Otto-von-Guericke-University Magdeburg)
Supplemental Material:


Study on multi-objective optimization for the allocation of transit aircraft to gateway considering satellite hall (Page 409)
Boyuan Xia, Zhiwei Yang, and Qingsong Zhao (National University of Defense Technology)
Supplemental Material:



Search-Based Software Engineering (back to top)

Franken-Swarm: Grammatical Evolution for the Automatic Generation of Swarm-like Meta-heuristics (Page 411)
Anna Bogdanova, Jair Pereira Junior, and Claus Aranha (University of Tsukuba)
Supplemental Material:


Genetic Improvement of Data gives Binary Logarithm from sqrt (Page 413)
W. Langdon and J. Petke (University College London)
Supplemental Material: pos179s1-file2.zip


Visualizing Swarm Behavior with a Particle Density Map (Page 415)
Hyeon-Chang Lee and Yong-Hyuk Kim (Kwangwoon University)
Supplemental Material:


Security Testing of Web Applications: A Search-Based Approach for Detecting SQL Injection Vulnerabilities (Page 417)
Muyang Liu (University of Electronic Science and Technology of China), Ke Li (University of Exeter), and Tao Chen (Nottingham Trent University)
Supplemental Material:


Towards Evolutionary Theorem Proving for Isabelle/HOL (Page 419)
Yutaka Nagashima (Czech Technical University, University of Innsbruck)
Supplemental Material:


A Memetic NSGA-II with EDA-Based Local Search for Fully Automated Multiobjective Web Service Composition (Page 421)
chen wang, Hui Ma, and Gang Chen (Victoria University of Wellingotn) and Sven Hartmann (Clausthal University of Technology)
Supplemental Material:



Theory (back to top)

Black-Box Complexity of the Binary Value Function (Page 423)
Nina Bulanova and Maxim Buzdalov (ITMO University)
Supplemental Material:


Maximizing Drift is Not Optimal for Solving OneMax (Page 425)
Nathan Buskulic (Sorbonne University) and Carola Doerr (CNRS, Sorbonne University)
Supplemental Material:


Unlimited Budget Analysis (Page 427)
Jun He (Nottingham Trent University), Thomas Jansen (Aberystywth University), and Christine Zarges (Aberystwyth University)
Supplemental Material:


A mathematical analysis of EDAs with distance-based exponential models (Page 429)
Imanol Unanue and María Merino (University of the Basque Country (UPV/EHU)) and Jose Antonio Lozano (Basque Center for Applied Mathematics (BCAM), University of the Basque Country (UPV/EHU))
Supplemental Material:



Tutorial


Introductory Tutorials (back to top)

Evolutionary Robotics Tutorial (Page 431)
Nicolas Bredeche and Stéphane Doncieux (Sorbonne Université, CNRS) and Jean-Baptiste Mouret (INRIA, CNRS/Université de Lorraine)
Supplemental Material:


Tutorial on Evolutionary Multiobjective Optimization (Page 461)
Dimo Brockhoff (Inria, Ecole Polytechnique)
Supplemental Material:


Constraint-Handling Techniques used with Evolutionary Algorithms (Page 485)
Carlos Artemio Coello Coello (CINVESTAV-IPN, Department of Computer Science)
Supplemental Material: tut115s1-file2.zip


Evolutionary Computation: A Unified Approach (Page 507)
Kenneth De Jong (George Mason University)
Supplemental Material:


Introductory Tutorial: Theory for Non-Theoreticians (Page 523)
Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX))
Supplemental Material:


Neuroevolution for Deep Reinforcement Learning Problems (Page 550)
David Ha (Google Brain)
Supplemental Material:


A Practical Guide to Experimentation (and Benchmarking) (Page 594)
Nikolaus Hansen (Inria; CMAP, Ecole Polytechnique)
Supplemental Material: tut112s1-file2.pdf


Evolutionary Many-Objective Optimization (Page 614)
Hisao Ishibuchi (Southern University of Science Technology (SUSTech)) and Hiroyuki Sato (The University of Electro-Communications)
Supplemental Material:


Runtime Analysis of Evolutionary Algorithms: Basic Introduction (Page 662)
Per Kristian Lehre (University of Birmingham) and Pietro Oliveto (University of Sheffield)
Supplemental Material:


Evolution of Neural Networks (Page 694)
Risto Miikkulainen (The University of Texas at Austin, Cognizant Technology Solutions)
Supplemental Material:


Introduction to Genetic Programming (Page 710)
Una-May O'Reilly (CSAIL, Massachusetts Institute of Technology) and Erik Hemberg (MIT)
Supplemental Material:


Representations for Evolutionary Algorithms (Page 726)
Franz Rothlauf (Universität Mainz)
Supplemental Material:


Learning Classifier Systems: From Principles to Modern Systems (Page 747)
Anthony Stein (University of Augsburg)
Supplemental Material:


Hyper-heuristics (Page 770)
Daniel R. Tauritz (Missouri University of Science and Technology) and John R. Woodward (Queen Mary University of London)
Supplemental Material:


Model-Based Evolutionary Algorithms (Page 806)
Dirk Thierens (Utrecht University) and Peter A. N. Bosman (Centrum Wiskunde & Informatica (CWI))
Supplemental Material:



Advanced Tutorials (back to top)

CMA-ES and Advanced Adaptation Mechanisms (Page 837)
Youhei Akimoto (University of Tsukuba) and Nikolaus Hansen (Inria)
Supplemental Material:


Simulation Optimization (Page 862)
Juergen Branke (University of Warwick)
Supplemental Material:


Dynamic Parameter Choices in Evolutionary Computation (Page 890)
Carola Doerr (CNRS, Sorbonne University)
Supplemental Material:


Recent Advances in Particle Swarm Optimization Analysis and Understanding (Page 923)
Andries p. Engelbrecht (University of Stellenbosch) and Christopher w. Cleghorn (University of Pretoria)
Supplemental Material: tut114s1-file2.zip


Visualization in Multiobjective Optimization (Page 951)
Bogdan Filipic (Jozef Stefan Institute, Jozef Stefan International Postgraduate School) and Tea Tusar (Jozef Stefan Institute)
Supplemental Material:


Solving Complex Problems with Coevolutionary Algorithms (Page 975)
Krzysztof Krawiec (Poznan University of Technology) and Malcolm Heywood (Dalhousie University)
Supplemental Material:


Decomposition Multi-Objective Optimisation: Current Developments and Future Opportunities (Page 1002)
Ke Li (University of Exeter) and Qingfu Zhang (City University of Hong Kong)
Supplemental Material:


Semantic Genetic Programming (Page 1032)
Alberto Moraglio (University of Exeter, Exeter) and Krzysztof Krawiec (Poznan University of Technology, Poznan)
Supplemental Material:


Evolutionary Computation for Digital Art (Page 1056)
Aneta Neumann and Frank Neumann (The University of Adelaide)
Supplemental Material:


Recent Advances in Fitness Landscape Analysis (Page 1077)
Gabriela Ochoa (University of Stirling) and Katherine Mary Malan (University of South Africa)
Supplemental Material:


Sequential Experimentation by Evolutionary Algorithms (Page 1095)
Ofer M. Shir (Tel-Hai College, The Galilee Research Institute - Migal) and Thomas Bäck (Leiden University)
Supplemental Material:


Next Generation Genetic Algorithms. (Page 1113)
Darrell Whitley (Colorado State University)
Supplemental Material:



Specialized Tutorials (back to top)

Exploratory Landscape Analysis (Page 1137)
Pascal Kerschke (University of Münster) and Mike Preuss (Leiden University)
Supplemental Material:


Creative Evolutionary Computation (Page 1156)
Antonios Liapis and Georgios N. Yannakakis (University of Malta)
Supplemental Material:


Concurrency in evolutionary algorithms (Page 1172)
JJ Merelo (University of Granada)
Supplemental Material:


Push (Page 1175)
Lee Spector (Hampshire College, University of Massachusetts Amherst) and Nicholas Freitag McPhee (University of Minnesota, Morris)
Supplemental Material:


Theory of Estimation-of-Distribution Algorithms (Page 1197)
Carsten Witt (Technical University of Denmark)
Supplemental Material:


Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition (Page 1226)
Mengjie Zhang (Victoria University of Wellington) and Stefano Cagnoni (University of Parma)
Supplemental Material:



Workshop Paper


Workshop Evolutionary Computation + Multiple Criteria Decision Making (back to top)

Minimum Spanning Tree-based Clustering of Large Pareto Archives (Page 1252)
Andrzej Jaszkiewicz (Poznan University of Technology, Faculty of Computing)
Supplemental Material:


A Tabu Search-based Memetic Algorithm for the Multi-objective Flexible Job Shop Scheduling Problem (Page 1254)
Marios Kefalas (Leiden University), Steffen Limmer (Honda Research Institute Europe GmbH), Asteris Apostolidis (KLM Royal Dutch Airlines), Markus Olhofer (Honda Research Institute Europe GmbH), and Michael Emmerich and Thomas Baeck (Leiden University)
Supplemental Material: wksp126s1-file2.zip



Workshop International Workshop on Learning Classifier Systems (back to top)

Predicting the Remaining Useful Life of Plasma Equipment through XCSR (Page 1263)
Liang-Yu Chen and Jia-Hua Lee (National Chiao Tung University/Institute of Computer Science and Engineering, College of Computer Science); Ya-Liang Yang (National Chiao Tung University/Department of Computer Science, College of Computer Science); Ming-Tsung Yeh (United Microelectronics Corporation/Smart Manufacturing Division, Architecture 4); and Tzu-Chien Hsiao (National Chiao Tung University/Department of Computer Science, College of Computer Science; National Chiao Tung University/Institute of Biomedical Engineering, College of Electrical and Computer Engineering)
Supplemental Material:


LCS-Based Automatic Configuration of Approximate Computing Parameters for FPGA System Designs (Page 1271)
Simon Conrady (Arnold & Richter Cine Technik), Manu Manuel (Technical University of Munich), Arne Kreddig (SmartRay GmbH), and Walter Stechele (Technical University of Munich)
Supplemental Material:


Real-Time Detection of Internet Addiction Using Reinforcement Learning System (Page 1280)
Hong-Ming Ji and Liang-Yu Chen (National Chiao Tung University/Institute of Computer Science and Engineering, College of Computer Science) and Tzu-Chien Hsiao (National Chiao Tung University/Department of Computer Science, College of Computer Science; National Chiao Tung University/Institute of Biomedical Engineering, College of Electrical and Computer Engineering)
Supplemental Material:


Preliminary tests of a real-valued Anticipatory Classifier System (Page 1289)
Norbert Kozlowski and Olgierd Unold (Wroclaw University of Technology)
Supplemental Material:


A Survey of Formal Theoretical Advances Regarding XCS (Page 1295)
David Pätzel, Anthony Stein, and Jörg Hähner (University of Augsburg)
Supplemental Material:


XCS-CR for Handling Input, Output, and Reward Noise (Page 1303)
Takato Tatsumi and Keiki Takadama (The University of Electro-Communications)
Supplemental Material: wksp177s1-file2.zip



Workshop Evolutionary Data Mining and Optimization over Graphs (back to top)

Nature-Inspired Metaheuristics for optimizing Information Dissemination in Vehicular Networks (Page 1312)
Antonio David Masegosa (University of Deusto; Ikerbasque, Basque Foundation for Sciences); Eneko Osaba (TECNALIA Research and Innovation); Juan S. Angarita-Zapata (University of Deusto); Ibai Laña (TECNALIA Research and Innovation); and Javier Del Ser (TECNALIA Research and Innovation, University of the Basque Country)
Supplemental Material:


Solving the Parameterless Firefighter Problem using Multiobjective Evolutionary Algorithms (Page 1321)
Krzysztof Michalak (Wroclaw University of Economics)
Supplemental Material:


Combining Bio-inspired Meta-Heuristics and Novelty Search for Community Detection over Evolving Graph Streams (Page 1329)
Eneko Osaba (Tecnalia Research & Innovation), Javier Ser (University of the Basque Country), Angel Panizo and David Camacho (Universidad Autónoma de Madrid), and Akemi Galvez and Andres Iglesias (University of Cantabria)
Supplemental Material:



Workshop Industrial Applications of Metaheuristics (back to top)

A Memetic Algorithm to Optimize Bus Timetable with Unequal Time Intervals (Page 1336)
Pengfei Gao and Xingquan Zuo (Beijing University of Posts and Telecommunications), Qiang Bian (Aerospace Science and Industry Smart Industry Development), and Xinchao Zhao (Beijing University of Posts and Telecommunications)
Supplemental Material:


Increasing Trust in Meta-Heuristics by Using MAP-Elites (Page 1345)
Neil Urquhart (Edinburgh Napier University), Michael Guckert (Technische Hochschule Mittelhessen), and Simon Powers (Edinburgh Napier University)
Supplemental Material:



Workshop Evolutionary Computation Software Systems (back to top)

MABE 2.0: an introduction to MABE and a road map for the future of MABE development (Page 1349)
Clifford Bohm, Alexander Lalejini, Jory Schossau, and Charles Ofria (Michigan State University)
Supplemental Material:


Generalized Incremental Orthant Search: Towards Efficient Steady-State Evolutionary Multiobjective Algorithms (Page 1357)
Maxim Buzdalov (ITMO University)
Supplemental Material:


A Symbolic Evolutionary Algorithm Software Platform (Page 1366)
Rodolfo Ayala Lopes, Thiago Macedo Gomes, and Alan R. R. de Freitas (Universidade Federal de Ouro Preto)
Supplemental Material:


Automatic Configuration of NSGA-II with jMetal and irace (Page 1374)
Antonio J. Nebro (University of Málaga), Manuel López-Ibáñez (University of Manchester), and Cristóbal Barba-González and José García-Nieto (University of Málaga)
Supplemental Material:


Evolutionary and Swarm-Intelligence Algorithms through Monadic Composition (Page 1382)
Gary Pamparà (University of Pretoria) and Andries P. Engelbrecht (Stellenbosh University)
Supplemental Material:


ECJ at 20: Toward a General Metaheuristics Toolkit (Page 1391)
Eric O. Scott and Sean Luke (George Mason University)
Supplemental Material:



Workshop Decomposition Techniques in Evolutionary Optimization (back to top)

Differential Evolution for Multi-Modal Multi-Objective Problems (Page 1399)
Monalisa Pal and Sanghamitra Bandyopadhyay (Indian Statistical Institute)
Supplemental Material: wksp176s1-file2.zip



Workshop Landscape-Aware Heuristic Search (back to top)

Local Optima Networks for Continuous Fitness Landscapes (Page 1407)
Jason Adair and Gabriela Ochoa (University of Stirling) and Katherine Mary Malan (University of South Africa)
Supplemental Material:


Landscape Analysis Under Measurement Error (Page 1415)
Khulood Alyahya, Ozgur E. Akman, and Jonathan E. Fieldsend (University of Exeter)
Supplemental Material:


Coupling the Design of Benchmark with Algorithm in Landscape-Aware Solver Design (Page 1419)
Johann Dreo (Thales Research & Technology); Carola Doerr (CNRS, Sorbonne University); and Yann Semet (Thales Research & Technology)
Supplemental Material:


Visualising the Landscape of Multi-Objective Problems using Local Optima Networks (Page 1421)
Jonathan Edward Fieldsend and Khulood Alyahya (University of Exeter)
Supplemental Material:


Local Optima Network Analysis for MAX-SAT (Page 1430)
Gabriela Ochoa (University of Stirling) and Francisco Chicano (University of Malaga)
Supplemental Material:



Workshop Evolutionary Algorithms for Problems with Uncertainty (back to top)

Uncertainty in Real-World Steel Stacking Problems (Page 1438)
Andreas Beham (University of Applied Sciences Upper Austria, Johannes Kepler University); Sebastian Raggl and Stefan Wagner (University of Applied Sciences Upper Austria); and Michael Affenzeller (University of Applied Sciences Upper Austria, Johannes Kepler University)
Supplemental Material:


A Generator for Dynamically Constrained Optimization Problems (Page 1441)
Gary Pamparà (University of Pretoria) and Andries P. Engelbrecht (Stellenbosh University)
Supplemental Material:


Hybrid Techniques for Detecting Changes in Less Detectable Dynamic Multiobjective Optimization Problems (Page 1449)
Shaaban Sahmoud and Haluk Rahmi Topcuoglu (Marmara University)
Supplemental Material:



Workshop Interactive Methods (back to top)

An Intuitive and Traceable Human-based Evolutionary Computation System for Solving Problems in Human Organizations (Page 1457)
Kei Ohnishi (Kyushu Institute of Technology), Tomohiro Yoshikawa (Nagoya University), and Tian-Li Yu (National Taiwan University)
Supplemental Material:


Human-Evolutionary Problem Solving through Gamification of a Bin-Packing Problem (Page 1465)
Nicholas David Fitzhavering Ross and Edward Keedwell (University of Exeter); Dragan Savic (University of Exeter; KWR Water Cycle Research Institute, Nieuwegein); and Matthew Barrie Johns (University of Exeter)
Supplemental Material:



Workshop Evolutionary Computation for the Automated Design of Algorithms (back to top)

SAPIAS: Towards an independent Self-Adaptive Per-Instance Algorithm Selection for Metaheuristics (Page 1474)
Mohamed Amine EL Majdouli (Mohammed V University)
Supplemental Material:


Empirical Evidence of the Effectiveness of Primitive Granularity Control for Hyper-Heuristics (Page 1478)
Adam Harter (Missouri University of Science and Technology); Aaron Scott Pope (Missouri University of Science and Technology, Los Alamos National Laboratory); Daniel R. Tauritz (Missouri University of Science and Technology); and Chris Rawlings (Los Alamos National Laboratory)
Supplemental Material:


Instruction-Level Design of Local Optimisers using Push GP (Page 1487)
Michael Adam Lones (Heriot-Watt University)
Supplemental Material:


Toward Self-Learning Model-Based EAs (Page 1495)
Erik Andreas Meulman (Delft University of Technology, Centrum Wiskunde & Informatica (CWI)) and Peter Alexander Nicolaas Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology)
Supplemental Material:


Automated Design of Random Dynamic Graph Models (Page 1504)
Aaron Scott Pope (Missouri University of Science and Technology, Los Alamos National Laboratory); Daniel R. Tauritz (Missouri University of Science and Technology); and Chris Rawlings (Los Alamos National Laboratory)
Supplemental Material:


Evolving Mean-Update Selection Methods for CMA-ES (Page 1513)
Samuel N. Richter, Michael G. Schoen, and Daniel R. Tauritz (Missouri University of Science and Technology)
Supplemental Material:



Workshop Evolutionary Computation for Permutation Problems (back to top)

On the Definition of Dynamic Permutation Problems under Landscape Rotation (Page 1518)
Joan Alza (Robert Gordon University, University of the Basque Country); Mark Bartlett (Robert Gordon University); Josu Ceberio (University of the Basque Country); and John McCall (Robert Gordon University)
Supplemental Material:


Search moves in the local optima networks of permutation spaces: the QAP case (Page 1535)
Marco Baioletti and Alfredo Milani (University of Perugia), Valentino Santucci (University for Foreigners of Perugia), and Marco Tomassini (University of Lausanne)
Supplemental Material:


An Experimental Comparison of Algebraic Differential Evolution using different Generating Sets (Page 1527)
Marco Baioletti and Alfredo Milani (University of Perugia) and Valentino Santucci and Umberto Bartoccini (University for Foreigners of Perugia)
Supplemental Material:


Evolutionary Search Techniques for the Lyndon Factorization of Biosequences (Page 1543)
Amanda Clare, Jacqueline W. Daykin, and Thomas Mills (Aberystywth University) and Christine Zarges (Aberystwyth University)
Supplemental Material:


Deriving Knowledge from Local Optima Networks for Evolutionary Optimization in Inventory Routing Problem (Page 1551)
Piotr Lipinski (Computational Intelligence Research Group, Institute of Computer Science, University of Wroclaw) and Krzysztof Michalak (Department of Information Technologies, Institute of Business Informatics, Wroclaw University of Economics)
Supplemental Material:



Workshop Surrogate-Assisted Evolutionary Optimisation (back to top)

Multi-Point Infill Sampling Strategies Exploiting Multiple Surrogate Models (Page 1559)
Paul Beaucaire, Charlotte Beauthier, and Caroline Sainvitu (Cenaero)
Supplemental Material:


Benchmarking Surrogate-Assisted Genetic Recommender Systems (Page 1568)
Thomas Gabor and Philipp Altmann (LMU Munich)
Supplemental Material:


Prediction of neural network performance by phenotypic modeling (Page 1576)
Alexander Hagg (Bonn-Rhein-Sieg University of Applied Sciences, Leiden Institute of Advanced Computer Science); Martin Zaefferer and Jörg Stork (TH Köln, Institute for Data Science, Engineering, and Analytics); and Adam Gaier (Bonn-Rhein-Sieg University of Applied Sciences)
Supplemental Material:


Deadline-Driven Approach for Multi-Fidelity Surrogate-Assisted Environmental Model Calibration (Page 1583)
Nikolay Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna Kalyuzhnaya, and Sergey Kovalchuk (ITMO University)
Supplemental Material: wksp195s1-file2.zip


On The Use of Surrogate Models in Engineering Design Optimization and Exploration: The Key Issues (Page 1592)
Pramudita Satria Palar (Institut Teknologi Bandung), Rhea Patricia Liem (The Hong Kong University of Science and Technology), Lavi Rizki Zuhal (Institut Teknologi Bandung), and Koji Shimoyama (Tohoku University)
Supplemental Material: wksp120s1-file2.pdf


On Benchmarking Surrogate-Assisted Evolutionary Algorithms (Page 1603)
Vanessa Volz (Queen Mary University of London) and Boris Naujoks (TH Köln - University of Applied Sciences)
Supplemental Material:



Workshop Genetic and Evolutionary Computation in Defense, Security, and Risk Management (back to top)

A Mixed Framework to Support Heterogeneous Collection Asset Scheduling (Page 1606)
Jean Berger (Defence Research Development Canada - Valcartier); Moufid Harb, Ibrahim Abualhaol, Alexander Tekse, and Rami Abielmona (Larus Technologies Corporation); and Emil Petriu (University of Ottawa)
Supplemental Material:


Vulnerability Assessment of Machine Learning Based Malware Classification Models (Page 1615)
Yasir Malik and Adetokunbo Makanju (NYiT) and Godwin Raju and Pavol Zavarsky (Concordia University of Edmonton)
Supplemental Material:


A New approach for Malware Detection Based on Evolutionary Algorithm (Page 1619)
Farnoush Manavi and Ali Hamzeh (Shiraz university)
Supplemental Material: wksp117s1-file2.zip


$C^3PO$: Cipher Construction with Cartesian genetic PrOgramming (Page 1625)
Stjepan Picek (Delft University of Technology) and Karlo Knezevic, Domagoj Jakobovic, and Ante Derek (University of Zagreb)
Supplemental Material:


Automated Design of Tailored Link Prediction Heuristics for Applications in Enterprise Network Security (Page 1634)
Aaron Scott Pope (Missouri University of Science and Technology, Los Alamos National Laboratory); Daniel R. Tauritz (Missouri University of Science and Technology); and Melissa Turcotte (Los Alamos National Laboratory)
Supplemental Material:


A Role-Base Approach and a Genetic Algorithm for VLAN Design in Large Critical Infrastructures (Page 1643)
Igor Saenko (ITMO University) and Igor Kotenko (St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), ITMO University)
Supplemental Material:


Darwinian Malware Detectors: A Comparison of Evolutionary Solutions to Android Malware (Page 1651)
Zachary Wilkins and Nur Zincir-Heywood (Dalhousie University)
Supplemental Material:


Investigating Algorithms for Finding Nash Equilibria in Cybersecurity Problems (Page 1659)
Linda Zhang and Erik Hemberg (MIT)
Supplemental Material:



Workshop Evolutionary Computation in Health Care and Nursing System (back to top)

Discovering dependencies among mined association rules with population-based metaheuristics (Page 1668)
Iztok Fister Jr. (University of Maribor), Akemi Galvez (University of Cantabria), Eneko Osaba and Javier Del Ser (TECNALIA), Andres Iglesias (University of Cantabria), and Iztok Fister (University of Maribor)
Supplemental Material:


Computing Rational Border Curves of Melanoma and Other Skin Lesions from Medical Images with Bat Algorithm (Page 1675)
Akemi Galvez (University of Cantabria, Toho University); Iztok Fister Jr. (University of Maribor); Eneko Osaba (Tecnalia); Iztok Fister (University of Maribor); Javier Del Ser (Tecnalia, University of the Basque Country); and Andres Iglesias (University of Cantabria, Toho University)
Supplemental Material:


A Deep Learning System that Learns a Discriminative Model Autonomously Using Difference Images (Page 1683)
Ryodai Hamasaki and Koichi Nakayama (Saga University)
Supplemental Material:


Drone Monitoring System for Disaster Areas (Page 1686)
Patrick Hock (Faculty of Science and Engineering, Saga University); Koki Wakiyama and Koichi Nakayama (Graduate School of Science and Engineering, Saga University); and Chika Oshima (Faculty of Science and Engineering, Saga University)
Supplemental Material:


An Entirely Self-Administrated Genetic Algorithm Implemented Using Blockchain Technology (Page 1691)
Koichi Nakayama, Kanta Nanri, Yutaka Moriyama, and Chika Oshima (Saga University)
Supplemental Material:


Intention Inference from 2D Poses of Preliminary Action Using OpenPose (Page 1697)
Ryuji Tanaka, Chika Oshima, and Koichi Nakayama (Saga University)
Supplemental Material:



Workshop Genetic Improvement (back to top)

Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts (Page 1701)
Mahfouth Alghamdi and Christoph Treude (University of Adelaide) and Markus Wagner (School of Computer Science, The University of Adelaide)
Supplemental Material:


On Adaptive Specialisation in Genetic Improvement (Page 1703)
Aymeric Blot and Justyna Petke (University College London)
Supplemental Material:


The Quest for Non-Functional Property Optimisation in Heterogeneous and Fragmented Ecosystems: a Distributed Approach (Page 1705)
Mahmoud Bokhari (School of Computer Science, The University of Adelaide; Taibah University) and Markus Wagner and Brad Alexander (School of Computer Science, The University of Adelaide)
Supplemental Material:


Genetic Algorithms for Affine Transformations to Existential $t$-Restrictions (Page 1707)
Ryan E. Dougherty, Erin Lanus, Charles J. Colbourn, and Stephanie Forrest (Arizona State University)
Supplemental Material:


Genetic Improvement of Data gives double precision invsqrt (Page 1709)
W. Langdon (ucl)
Supplemental Material:


A Survey of Genetic Improvement Search Spaces (Page 1715)
Justyna Petke (University College London), Brad Alexander (University of Adelaide), Earl T. Barr (University College London), Alexander E.I. Brownlee (University of Stirling), Markus Wagner (University of Adelaide), and David R. White (University of Sheffield)
Supplemental Material:



Workshop Real-world Applications of Continuous and Mixed-integer Optimization (back to top)

Worst Case Search over a Set of Forecasting Scenarios Applied to Financial Stress-Testing (Page 1722)
Steffen Finck (FH Vorarlberg University of Applied Sciences)
Supplemental Material:


Implementing Evolutionary Optimization to Model Neural Functional Connectivity (Page 1731)
Kaitlin M. Maile (The University of Texas at Austin), Manish Saggar (Stanford University), and Risto Miikkulainen (The University of Texas at Austin)
Supplemental Material:


Identifying Solutions of Interest for Practical Many-objective Problems using Recursive Expected Marginal Utility (Page 1734)
Hemant Kumar Singh and Tapabrata Ray (The University of New South Wales) and Tobias Rodemann and Markus Olhofer (Honda Research Institute Europe GmbH)
Supplemental Material:



Workshop Game-Benchmark for Evolutionary Algorithms (back to top)

Game AI Hyperparameter Tuning in Rinascimento (Page 1742)
Ivan Bravi, Vanessa Volz, and Simon Lucas (Queen Mary University of London)
Supplemental Material:



Workshop Understanding Machine Learning Optimization Problems (back to top)

Evolutionary Discovery of Coresets for Classification (Page 1747)
Pietro Barbiero (Politec); Giovanni Squillero (Politecnico di Torino); and Alberto Tonda (INRA, Université Paris-Saclay)
Supplemental Material:


Making a Case for (Hyper-)Parameter Tuning as Benchmark Problems (Page 1755)
Carola Doerr (CNRS, Sorbonne University); Johann Dreo (Thales Research & Technology); and Pascal Kerschke (WWU Muenster)
Supplemental Material:


Automatic Surrogate Modelling Technique Selection based on Features of Optimization Problems (Page 1765)
Bhupinder Singh Saini (University of Jyväskylä), Manuel López-Ibáñez (University of Manchester), and Kaisa Miettinen (University of Jyväskylä)
Supplemental Material:


Global structure of policy search spaces for reinforcement learning (Page 1773)
Belinda Stapelberg and Katherine Mary Malan (University of South Africa)
Supplemental Material:



Workshop Black Box Discrete Optimization Benchmarking (back to top)

Towards Better Estimation of Statistical Significance When Comparing Evolutionary Algorithms (Page 1782)
Maxim Buzdalov (ITMO University)
Supplemental Material:


Bayesian Performance Analysis for Black-Box Optimization Benchmarking (Page 1789)
Borja Calvo (University of the Basque Country (UPV/EHU)); Ofer M. Shir (Tel-Hai College and Migal Institute); Josu Ceberio (University of the Basque Country (EHU/UPV)); Carola Doerr (Sorbonne University, CNRS); Hao Wang and Thomas Bäck (Leiden Institute for Advanced Computer Science); and Jose A. Lozano (University of the Basque Country (EHU/UPV))
Supplemental Material:


Benchmarking Discrete Optimization Heuristics with IOHprofiler (Page 1798)
Carola Doerr (CNRS, Sorbonne University); Furong Ye (LIACS, Leiden University); Naama Horesh (The Galilee Research Institute - Migal); Hao Wang (LIACS, Leiden University); Ofer M. Shir (The Galilee Research Institute - Migal); and Thomas Bäck (LIACS, Leiden University)
Supplemental Material:


Illustrating the Trade-Off between Time, Quality, and Success Probability in Heuristic Search (Page 1807)
Ivan Ignashov, Arina Buzdalova, and Maxim Buzdalov (ITMO University) and Carola Doerr (CNRS, Sorbonne University)
Supplemental Material:


Kinder Surprise's Debut in Discrete Optimisation -- A Real-World Toy Problem that can be Subadditive (Page 1813)
Markus Wagner (School of Computer Science, The University of Adelaide)
Supplemental Material:


Binary 100-Digit Challenge using IEEE-754 Coded Numerical Optimization Scenarios (100b-Digit) and V-shape Binary Distance-based Success History Differential Evolution (DISHv) (Page 1821)
Ales Zamuda (University of Maribor)
Supplemental Material:



Workshop Medical Applications of Genetic and Evolutionary Computation (back to top)

Can Clustering Improve Glucose Forecasting with Genetic Programming Models? (Page 1829)
Sergio Contador, J. Ignacio Hidalgo, Oscar Garnica, J. Manuel Velasco, and Juan Lanchares (Universidad Complutense de Madrid)
Supplemental Material:


Semantic Learning Machine Improves the CNN-Based Detection of Prostate Cancer in Non-Contrast-Enhanced MRI (Page 1837)
Paulo Lapa (NOVA IMS, Universidade Nova de Lisboa); Ivo Gonçalves (INESC Coimbra, DEEC, University of Coimbra); Leonardo Rundo (Department of Radiology, University of Cambridge); and Mauro Castelli (NOVA IMS, Universidade Nova de Lisboa)
Supplemental Material:


A New Evolutionary Rough Fuzzy Integrated Machine Learning Technique for microRNA selection using Next-Generation Sequencing data of Breast Cancer (Page 1846)
Jnanendra Prasad Sarkar (Department of Computer Science and Engineering, Jadavpur University, Kolkata; Larsen & Toubro Infotech Ltd.); Indrajit Saha (Department of Computer Science and Engineering, National Institute of Technical Teachers' Training & Research, Kolkata); Somnath Rakshit (Centre of New Technologies, University of Warsaw); Monalisa Pal (Machine Intelligence Unit, Indian Statistical Institute, Kolkata); Michal Wlasnowolski (Faculty of Mathematics and Information Science, Warsaw University of Technology; Center of New Technologies, University of Warsaw); Anasua Sarkar and Ujjwal Maulik (Department of Computer Science and Engineering, Jadavpur University, Kolkata); and Dariusz Plewczynski (Centre of New Technologies, University of Warsaw)
Supplemental Material:


Application of Classification for Figure Copying Test in Parkinson’s Disease Diagnosis by Using Cartesian Genetic Programming (Page 1855)
Tian Xia (University of York); Jeremy Cosgrove, Jane Alty, and Stuart Jamieson (Leeds General Infirmary); and Stephen Smith (University of York)
Supplemental Material:



Workshop Visualisation Methods in Genetic and Evolutionary Computation (back to top)

An Analysis of Dimensionality Reduction Techniques for Visualizing Evolution (Page 1864)
Andrea De Lorenzo and Eric Medvet (DIA, University of Trieste); Tea Tušar (Department of Intelligent Systems, Jožef Stefan Institute); and Alberto Bartoli (DIA, University of Trieste)
Supplemental Material:



Workshop Workshop on Evolutionary Algorithms for Smart Grids (back to top)

Business Models for Flexibility of Electric Vehicles: Evolutionary Computation for a Successful Implementation (Page 1873)
Fernando Lezama, Joao Soares, Ricardo Faia, and ZIta Vale (GECAD, Polytechnic of Porto) and Leonardo H. Macedo and Ruben Romero (LaPSEE/UNESP)
Supplemental Material:



Workshop New Standards for Benchmarking in Evolutionary Computation Research (back to top)

Comparison of Contemporary Evolutionary Algorithms on the Rotated Klee-Minty Problem (Page 1879)
Michael Hellwig, Patrick Spettel, and Hans-Georg Beyer (Vorarlberg University of Applied Sciences)
Supplemental Material: wksp110s1-file2.pdf


Exploring the MLDA Benchmark on the Nevergrad Platform (Page 1888)
Jeremy Rapin (Facebook AI Research); Marcus Gallagher (University of Queensland); Pascal Kerschke (University of Münster); Mike Preuss (LIACS, Universiteit Leiden); and Olivier Teytaud (Facebook AI Research)
Supplemental Material:



Workshop Black-Box-Optimization Benchmarking (back to top)

Benchmarking the ATM Algorithm on the BBOB 2009 Noiseless Function Testbed (Page 1897)
Benjamin Jacob Bodner (Brown University)
Supplemental Material: wksp106s1-file2.zip


The Impact of Sample Volume in Random Search on the bbob Test Suite (Page 1912)
Dimo Brockhoff and Nikolaus Hansen (Inria, Ecole Polytechnique)
Supplemental Material:


Benchmarking Algorithms from the platypus Framework on the Biobjective bbob-biobj Testbed (Page 1905)
Dimo Brockhoff (Inria, Ecole Polytechnique) and Tea Tušar (Jozef Stefan Institute)
Supplemental Material:


Benchmarking MO-CMA-ES and COMO-CMA-ES on the Bi-objective bbob-biobj Testbed (Page 1920)
Paul Dufossé (Inria Saclay–Île-de-France, Thales Research & Technology) and Cheikh Touré (Inria Saclay–Île-de-France, Ecole Polytechnique)
Supplemental Material:


Benchmarking GNN-CMA-ES on the BBOB noiseless testbed (Page 1928)
Louis Faury (Criteo; LTCI, Université Paris-Saclay); Clément Calauzènes (Criteo); and Olivier Fercoq (LTCI, Université Paris-Saclay)
Supplemental Material:


Benchmarking Multivariate Solvers of SciPy on the Noiseless Testbed (Page 1946)
Konstantinos Varelas (Inria Saclay–Île-de-France, Thales LAS France SAS) and Marie-Ange Dahito (Inria Saclay–Île-de-France, PSA Group)
Supplemental Material:


Benchmarking Large Scale Variants of CMA-ES and L-BFGS-B on the bbob-largescale Testbed (Page 1937)
Konstantinos Varelas (Inria Saclay–Île-de-France)
Supplemental Material:



Workshop Computational Intelligence in Aerospace Science and Engineering (back to top)

Structured-Chromosome GA Optimisation For Satellite Tracking (Page 1955)
Lorenzo Gentile (TH Köln, University of Strathclyde); Cristian Greco and Edmondo Minisci (University of Strathclyde); Thomas Bartz-Beielstein (TH Köln); and Massimiliano Vasile (University of Strathclyde)
Supplemental Material:


Determination of Microscopic Residual Stresses using Evolutionary Algorithms (Page 1964)
J. Ignacio Hidalgo (Complutense University of Madrid), Ricardo Fernández (Centro Nacional de Investigaciones Metalúrgicas-CSIC), J. Manuel Colmenar (Universidad Rey Juan Carlos), Oscar Garnica and Juan Lanchares (Universidad Complutense de Madrid), and Gaspar González-Doncel (Centro Nacional de Investigaciones Metalúrgicas-CSIC)
Supplemental Material: wksp134s1-file2.pdf


Interplanetary Transfers via Deep Representations of the Optimal Policy and/or of the Value Function (Page 1971)
Dario Izzo, Ekin Öztürk, and Marcus Märtens (European Space Agency)
Supplemental Material:


Hybridizing Differential Evolution and Novelty Search for Multimodal Optimization Problems (Page 1980)
Aritz D. Martinez, Eneko Osaba, and Izaskun Oregi (Tecnalia Research and Innovation); Iztok Fister Jr. and Iztok Fister (University of Maribor); and Javier Del Ser (Tecnalia Research and Innovation, University of the Basque Country)
Supplemental Material:


Benchmarking Constrained Surrogate-based Optimization on Low Speed Airfoil Design Problems (Page 1990)
Pramudita Satria Palar (Institut Teknologi Bandung), Yohanes Bimo Dwianto (The University of Tokyo), Rommel Regis (Saint Joseph's University), Akira Oyama (Japan Aerospace Exploration Agency), and Lavi Rizki Zuhal (Institut Teknologi Bandung)
Supplemental Material:


Solving Multi-objective Dynamic Travelling Salesman Problems by Relaxation (Page 1999)
Lorenzo Angelo Ricciardi and Massimiliano Vasile (University of Strathclyde)
Supplemental Material:


Immune and Genetic Hybrid Optimization Algorithm for Data Relay Satellite with Microwave and Laser Links (Page 2008)
Weihu Zhao, Guijin Xia, Cheng Dong, Wei Li, Shuai Ren, Yinghui Xue, Shuwen Chen, and Xiya Chen (National University of Defense Technology)
Supplemental Material:



Student Workshop Paper


Student Workshop (back to top)

Meta-Genetic Programming For Static Quantum Circuits (Page 2016)
Kenton M. Barnes and Michael B. Gale (University of Warwick)
Supplemental Material:


Limited Memory, Limited Arity Unbiased Black-Box Complexity: First Insights (Page 2020)
Nina Bulanova and Maxim Buzdalov (ITMO University)
Supplemental Material:


On the Construction of Pareto-compliant Quality Indicators (Page 2024)
Jesús Guillermo Falcón-Cardona (CINVESTAV-IPN), Michael T. M. Emmerich (Leiden University), and Carlos A. Coello Coello (UAM-Azcapotzalco)
Supplemental Material:


Random subsampling improves performance in lexicase selection (Page 2028)
Jose Guadalupe Hernandez, Alexander Michael Lalejini, Emily Dolson, and Charles Ofria (Michigan State University)
Supplemental Material:


Adaptive Landscape Analysis (Page 2032)
Anja Jankovic (Sorbonne University) and Carola Doerr (CNRS, Sorbonne University)
Supplemental Material:


Theoretical and Empirical Study of the $(1 + (\lambda, \lambda))$ EA on the LeadingOnes Problem (Page 2036)
Vitalii Karavaev (ITMO University); Denis Antipov (ITMO University, École Polytechnique); and Benjamin Doerr (École Polytechnique, Laboratoire d'Informatique (LIX))
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Evolution and Self-teaching in Neural Networks: Another comparison when the agent is more primitively conscious (Page 2040)
Nam Le (University College Dublin)
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Dynamic Compartmental Models for Algorithm Analysis and Population Size Estimation (Page 2044)
Hugo Monzón and Hernán Aguirre (Shinshu University); Sébastien Verel (Univ. Littoral Cote d’Opale); Arnaud Liefooghe and Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe); and Kiyoshi Tanaka (Shinshu University)
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Expressiveness and Robustness of Landscape Features (Page 2048)
Quentin Renau and Johann Dreo (Thales Research & Technology); Carola Doerr (CNRS, Sorbonne Université); and Benjamin Doerr (Ecole Polytechnique)
Supplemental Material: swksp121s1-file2.pdf


A Biased Random Key Genetic Algorithm for the Weighted Independent Domination Problem (Page 2052)
Guillem Rodríguez Corominas (Universitat Politècnica de Catalunya - BarcelonaTech), Christian Blum (Artificial Intelligence Research Institute (IIIA-CSIC)), and Maria J. Blesa (Universitat Politècnica de Catalunya - BarcelonaTech)
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Modularity Metrics for Genetic Programming (Page 2056)
Anil Kumar Saini (University of Massachusetts Amherst) and Lee Spector (Hampshire College, University of Massachusetts Amherst)
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Knowledge-Driven Reference-Point Based Multi-Objective Optimization: First Results (Page 2060)
Henrik Smedberg (University of Skövde)
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Optimization of a Demand Responsive Transport Service Using Multi-objective Evolutionary Algorithms (Page 2064)
Renan José dos Santos Viana (Programa de Pós-Graduação em Modelagem Matemática e Computacional - Centro Federal de Educação Tecnológica de Minas Gerais); André Gustavo dos Santos (Universidade Federal de Viçosa); Flávio Vinícius Cruzeiro Martins (Centro Federal de Educação Tecnológica de Minas Gerais); and Elizabeth Fialho Wanner (Aston University, Centro Federal de Educação Tecnológica de Minas Gerais)
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Fixed-Target Runtime Analysis of the (1+1) EA with Resampling (Page 2068)
Dmitry Vinokurov, Maxim Buzdalov, and Arina Buzdalova (ITMO University); Benjamin Doerr (Ecole Polytechnique); and Carola Doerr (CNRS, Sorbonne University)
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Ensemble-Based Constraint Handling in Multiobjective Optimization (Page 2072)
Aljosa Vodopija (Jozef Stefan Institute, Jozef Stefan International Postgraduate School); Akira Oyama (Japan Aerospace Exploration Agency); and Bogdan Filipic (Jozef Stefan Institute, Jozef Stefan International Postgraduate School)
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