GECCO 2017

Main Page Proceedings Companion Compilation Author Index



Companion Volume Table of Contents

Companion Volume Front Matter | Companion Volume Back Matter

Chair's Welcome
Keiki Takadama (GECCO 2018 General Chair, The University of Electro-Communications, Tokyo, Japan)


Competition Entry Workshop Papers
Hot Off the Press Workshop Surrogate-Assisted Evolutionary Optimisation
Late-Breaking Abstracts Workshop Industrial Application of Metaheuristics
Posters Workshop Parallel and Distributed Evolutionary Inspired Methods
Ant Colony Optimization and Swarm Intelligence Workshop Evolution in Cognition
Complex Systems (Artificial Life/… Workshop New Standards for Benchmarking in Evolutionary Computation Research
Digital Entertainment Technologies and Arts Workshop Evolutionary Computation Software Systems
Evolutionary Combinatorial Optimization an…. Workshop Learning Classifier Systems
Evolutionary Machine Learning Workshop Landscape-Aware Heuristic Search
Evolutionary Multiobjective Optimization Workshop Black Box Optimization Benchmarking 2018
Evolutionary Numerical Optimization Workshop Evolutionary Computation for the Automated Design of Algorithms
Genetic Algorithms Workshop Visualisation Methods in Genetic and Evolutionary Computation
General Evolutionary Computation and Hybrids Workshop Medical Applications of Genetic and Evolutionary Computation
Genetic Programming Workshop Genetic Improvement 2018
Real World Applications Workshop Genetic and Evolutionary Computation in Defense, Security and Risk Management
Search-Based Software Engineering … Workshop Real-world Applications of Continuous and Mixed-integer Optimization
Theory Workshop Decomposition Techniques in Evolutionary Optimization
Tutorials Workshop Black Box Discrete Optimization Benchmarking
Introductory Tutorials Workshop Evolutionary Algorithms for Problems with Uncertainty
Advanced Tutorials Workshop Intelligent Operations Management in the Energy Sector
Specialized Tutorials Workshop Evolutionary Computation in Health care and Nursing System
Workshop Evolutionary Algorithms for Big Data and Massively Complex Problems
Student Workshop Papers



Competition Entry (back to top)


Internet of Things: Online Anomaly Detection for Drinking Water Quality (back to top)

Online Anomaly Detection for Drinking Water Quality Using a Multi-objective Machine Learning Approach (Page 1)
Victor Henrique Alves Ribeiro and Gilberto Reynoso Meza (Pontifical Catholic University of Parana)

Anomaly Detection for Drinking Water Quality via Deep BiLSTM Ensemble (Page 3)
Xingguo Chen (Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing University of Posts and Telecommunications.; State Key Laboratory for Novel Software Technology, Nanjing University.) and Fan Feng, Jikai Wu, and Wenyu Liu (Nanjing University of Posts and Telecommunications)

Automatic vs. Manual Feature Engineering for Anomaly Detection of Drinking-Water Quality (Page 5)
Valerie Aenne Nicola Fehst, Huu Chuong La, Tri-Duc Nghiem, Ben E. Mayer, and Paul Englert (idatase GmbH) and Karl-Heinz Fiebig (idaase GmbH)


Hot Off the Press (back to top)

Employing Multi-Objective Search to Enhance Reactive Test Generation and Prioritization for Testing Industrial Cyber-Physical Systems (Page 7)
Aitor Arrieta (Mondragon Univeristy); Shuai Wang (Testify); and Urtzi Markiegi, Goiuria Sagardui, and Leire Etxeberria (Mondragon Univeristy)

Energy-consumption prediction of Genetic Programming Algorithms using a Fuzzy Rule-Based System (Page 9)
Franciso Chavez de la O, Francisco Fernandez de Vega, Josefa Diaz-Alvarez, Juan A. Garcia, and Francisco J. Rodriguez (Universidad de Extremadura) and Pedro A. Castillo (Universidad de Granada)

Standard Steady State Genetic Algorithms Can Hillclimb Faster than Evolutionary Algorithms using Standard Bit Mutation (Page 11)
Dogan Corus and Pietro S. Oliveto (The University of Sheffield)

Better Runtime Guarantees Via Stochastic Domination (Hot-off-the-Press Track at GECCO 2018) (Page 13)
Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX))

Deep Statistical Comparison of Meta-heuristic Stochastic Optimization Algorithms (Page 15)
Tome Eftimov (Jožef Stefan Institute); Peter Korošec (Jožef Stefan Institute; Faculty of Mathematics, Natural Sciences and Information Technologies); and Barbara Koroušić Seljak (Jožef Stefan Institute)

Towards Automation & Augmentation of the Design of Schedulers for Cellular Communications Networks (Page 17)
Michael Fenton (Corvil Ltd) and David Fagan (University College Dublin)

Detection of Minimum Biomarker Features via Bi-level Optimization Framework by Nested Hybrid Differential Evolution (Page 19)
Kai-Cheng Hsu (Department of Neurology, National Taiwan University Hospital) and Feng-Sheng Wang (Department of Chemical Engineering, National Chung Cheng University)

On Botnet Detection with Genetic Programming under Streaming Data, Label Budgets and Class Imbalance (Page 21)
Sara Khanchi (Dalhousie University); Ali Vahdat (Huawei Technologies, Noah's Ark Lab.); and Malcolm Heywood and Nur Zincir-Heywood (Dalhousie University)

A multidimensional genetic programming approach for identifying epsistatic gene interactions (Page 23)
William La Cava (University of Pennsylvania); Sara Silva (University of Lisbon, University of Coimbra); Kourosh Danai (University of Massachusetts Amherst); Leonardo Vanneschi (Universidade Nova de Lisboa); Jason H. Moore (University of Pennsylvania); and Lee Spector (Hampshire College, University of Massachusetts Amherst)

ED-LS - A Heuristic Local Search for the Firefighter Problem (Page 25)
Krzysztof Michalak (Wroclaw University of Economics)

Parameter-less (Meta)heuristics for Vehicle Routing Problems (Page 27)
Jakub Nalepa and Miroslaw Blocho (Silesian University of Technology)

Evolutionary Computation: An Investigation of Parameter Space (Page 29)
Moshe Sipper, Weixuan Fu, Karuna Ahuja, and Jason H. Moore (University of Pennsylvania)

Summary of Evolutionary Computation for Wind Farm Layout Optimization (Page 31)
Dennis Wilson (IRIT, University of Toulouse); Silvio Rodrigues (Delft University of Technology); Carlos Segura (Center for Research in Mathematics); Ilya Loshchilov and Frank Hutter (University of Freiburg); Guillermo López Buenfil (Center for Research in Mathematics); Ahmed Kheiri (Lancaster University); Ed Keedwell (University of Exeter); Mario Ocampo Pineda (Center for Research in Mathematics); Ender Ozcan (University of Nottingham); Sergio Ivvan Valdez Peña (Center for Research in Mathematics); Brian Goldman (Michigan State University); Salvador Botello Rionda and Arturo Hernández Aguirre (Center for Research in Mathematics); Kalyan Veeramachaneni (MIT); and Sylvain Cussat-Blanc (IRIT)


Late-Breaking Abstract (back to top)

Optimization Based Adaptive Tagged Visual Cryptography (Page 33)
Pei-Ling Chiu and Kai-Hui Lee (Ming Chuan University)

Parameter Space Analysis of Genetic Algorithm Using Support Vector Regression (Page 35)
Hwi-Yeon Cho, Hye-Jin Kim, and Yong-Hyuk Kim (Kwangwoon Univ.)

Evolving Modular Neural Sequence Architectures with Genetic Programming (Page 37)
David Dohan, David So, and Quoc Le (Google Brain)

The Human-based Evolutionary Computation System Enabling Us to Follow the Solution Evolution (Page 39)
Kousuke Fujimoto and Kei Ohnishi (Kyushu Institute of Technology) and Tomohiro Yoshikawa (Nagoya University)

A Surrogate-assisted Selection Scheme for Genetic Algorithms Employing Multi-layer Neural Networks (Page 41)
Masaki Fujiwara and Masaharu Munetomo (Hokkaido University)

Investigation of Kernel Functions in EDA-GK (Page 43)
Ryoichi Hasegawa and Hisashi Handa (Kindai Unviersity)

A Self-Replication Basis For Designing Complex Agents (Page 45)
Thommen Karimpanal George (Singapore University of Technology and Design)

Syllabification by Phone Categorization (Page 47)
Jacob Krantz, Maxwell Dulin, and Paul De Palma (Gonzaga University) and Mark VanDam (Washington State University)

On the Hardness of Parameter Optimization of Convolution Neural Networks Using Genetic Algorithm and Machine Learning (Page 51)
Hyeon-Chang Lee, Dong-Pil Yu, and Yong-Hyuk Kim (Kwangwoon Univ.)

Importance of Finding a Good Basis in Binary Representation (Page 49)
Junghwan Lee and Yong-Hyuk Kim (Kwangwoon Univ.)

A Geometric Evolutionary Search for Melody Composition (Page 53)
Yong-Wook Nam and Yong-Hyuk Kim (Kwangwoon Univ.)

Evolutionary Algorithm Using Surrogate Assisted Model for Simultaneous Design Optimization Benchmark Problem of Multiple Car Structures (Page 55)
Hiro Ohtsuka, Misaki Kaidan, Tomohiro Harada, and Ruck Thawonmas (Ritsumeikan University)

Accelerating Genetic Programming using PyCuda (Page 57)
Keiko Ono (Ryukoku University) and Yoshiko Hanada (Kansai University)

EBIC: a Next-Generation Evolutionary-Based Parallel Biclustering Method (Page 59)
Patryk Orzechowski (University of Pennsylvania, AGH University of Science and Technology); Moshe Sipper (University of Pennsylvania); Xiuzhen Huang (Arkansas State University); and Jason H. Moore (University of Pennsylvania)

Configuring the Parameters of Artificial Neural Networks using NeuroEvolution and Automatic Algorithm Configuration (Page 61)
Evgenia Papavasileiou and Bart Jansen (Vrije Universiteit Brussel (VUB), Department of Electronics and Informatics (ETRO); imec)

Genetically-Trained Deep Neural Networks (Page 63)
Krzysztof Pawełczyk, Michal Kawulok, and Jakub Nalepa (Silesian University of Technology)

Digital Investigations on the Evolution of Prokaryote Photosynthesis Regulation (Page 65)
Anselmo Pontes and Charles Ofria (Michigan State University)

GA and Entropy Objective Function for Solving Sudoku Puzzle (Page 67)
KATYA RODRIGUEZ-VAZQUEZ (IIMAS-UNAM)

Distributed NSGA-II Sharing Extreme Non-dominated Solutions (Page 69)
Yuji Sato (Hosei University), Mikiko Sato (Tokai University), and Minami Miyakawa (Hosei University)

Infeasible Solution Repair and MOEA/D Sharing Weight Vectors for Solving Multi-objective Set Packing Problems (Page 71)
Mariko Tanaka (The University of Electro-Communications), Yuki Yamagishi and Hidetoshi Nagai (NS Solutions Corporation), and Hiroyuki Sato (The University of Electro-Communications)

Hybrid Swarm of Particle Swarm with Firefly for Complex Function Optimization (Page 73)
Heng Xiao and Toshiharu Hatanaka (Osaka University)

Forecasting Soybean Futures Price Using Dynamic Model Averaging and Particle Swarm Optimization (Page 75)
Tao Xiong (Huazhong Agricultural University)

Is It Worth to Approximate Fitness by Machine Learning?: Investigation on the Extensibility According to Problem Size (Page 77)
Dong-Pil Yu and Yong-Hyuk Kim (Kwangwoon Univ.)

Deterministic and Stochastic Precipitation Downscaling using Multi-Objective Genetic Programming (Page 79)
Tanja Zerenner, Victor Venema, Petra Friederichs, and Clemens Simmer (Meteorological Institute University of Bonn)


Posters


Ant Colony Optimization and Swarm Intelligence (back to top)

Comparative Study on Discrete SI Approaches to the Graph Coloring Problem (Page 81)
Claus Aranha (University of Tsukuba, Faculty of Engineering, Information and Systems); Jair Pereira Junior (Federal University of ABC); and Hitoshi Kanoh (University of Tsukuba, Faculty of Engineering, Information and Systems)
Supplemental Material:


Comparative Performance and Scaling for the Pareto Improving Particle Swarm Algorithm (Page 83)
Stephyn Butcher (Johns Hopkins University), John Sheppard (Montana State University), and Brian Haberman (Johns Hopkins University)
Supplemental Material:


Particle Swarm and Population Structure (Page 85)
Carlos M. Fernandes (University of Lisbon, Larsys); Nuno Fachada (Lusófona University, Larsys); Juan L.J. Laredo (University of Le Havre); Agostinho C. Rosa (University of Lisbon, Larsys); and Juan Julian Merelo (University of Granada)
Supplemental Material:


Multimodal Optimization of Traveling Salesman Problem: A Niching Ant Colony System (Page 87)
Xing-Chi Han, Hao-Wen Ke, and Yue-Jiao Gong (South China University of Technology); Ying Lin (Sun Yat-sen University); and Wei-Li Liu and Jun Zhang (South China University of Technology)
Supplemental Material:


Inverted Ant Colony Optimization for Search and Rescue in an Unknown Maze-like Indoor Environment (Page 89)
Zainab Husain (Khalifa University); Dymitr Ruta and Fabrice Saffre (EBTIC, Khalifa University); and Yousof Al-Hammadi and Abdel F. Isakovic (Khalifa University)
Supplemental Material:


An Efficient Ant Colony System For Coverage Based Test Case Prioritization (Page 91)
Chengyu Lu and Jinghui Zhong (South China University of Technology)
Supplemental Material:


Gaussian Bare-bones Cuckoo Search Algorithm (Page 93)
Hu Peng and Changshou Deng (Jiujiang University), Hui Wang and Wenjun Wang (Nanchang Institute of Technology), Xinyu Zhou (Jiangxi Normal University), and Zhijian Wu (Wuhan University)
Supplemental Material:


Artificial Bee Colony Algorithm based on Adaptive Local Information Sharing: Approach for several dynamic changes (Page 95)
Ryo Takano, Hiroyuki Sato, and Keiki Takadama (The University of Electro-Communications)
Supplemental Material:


Multiple Swarm Intelligence Methods based on Multiple Population with Sharing Best Solution for Drastic Environmental Change (Page 97)
Yuta Umenai, Fumito Uwano, Hiroyuki Sato, and Keiki Takadama (The University of Electro-Communications)
Supplemental Material:


Scouting Strategy for Biasing Fireworks Algorithm Search to Promising Directions (Page 99)
Jun Yu (Kyushu University); Ying Tan (Peking University, Kyushu University); and Hideyuki Takagi (Kyushu University)
Supplemental Material:


Improving the Accuracy of 2D-3D Registration of Femur Bone for Bone Fracture Reduction Robot using Particle Swarm Optimization (Page 101)
Asaduz Zaman and Seong Young Ko (Chonnam National University, Mechanical Engineering)
Supplemental Material:



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

A Distributed Dendritic Cell Algorithm for Big Data (Page 103)
Zaineb Chelly Dagdia (Aberystwyth University, Institut Supérieur de Gestion de Tunis)
Supplemental Material:


Ecological Theory Provides Insights about Evolutionary Computation (Page 105)
Emily Louise Dolson and Charles Ofria (Michigan State University)
Supplemental Material:


Open-Ended Evolution with Multi-Containers QD (Page 107)
Stephane Doncieux and Alexandre Coninx (Sorbonne Universite; CNRS, ISIR)
Supplemental Material:


Meta-Learning by the Baldwin Effect (Page 109)
Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, and Andrei Rusu (Google DeepMind)
Supplemental Material: pos194s1-file2.zip


Evolutionary Hexapod Robot Gait Control Using A New Recurrent Neural Network Learned Through Group-based Hybrid Metaheuristic Algorithm (Page 111)
Chia-Feng Juang and Yu-Cheng Chang (National Chung Hsing University) and I-Fang Chung (National Yang-Ming University)
Supplemental Material:


Bend and Flex: Passive Flexibility or Active Control in a Quadruped Animat (Page 113)
Jared M. Moore (Grand Valley State University) and Anthony J. Clark (Missouri State University)
Supplemental Material:


The Dynamics of Cooperation versus Competition (Page 115)
Geoff Nitschke (University of Cape Town) and Olaf Witkowski (Institute for Advanced Study)
Supplemental Material:


Policy Transfer Methods in RoboCup Keep-Away (Page 117)
Geoff Nitschke (University of Cape Town)
Supplemental Material:


Embodiment can combat catastrophic forgetting (Page 119)
Joshua P. Powers, Josh Bongard, and Sam Kriegman (University of Vermont)
Supplemental Material:


Why Don’t the Modules Dominate? (Page 121)
Zhenyue Qin, Robert McKay, and Tom Gedeon (Australian National University)
Supplemental Material: pos181s1-file2.pdf


Toward Learning Neural Network Encodings for Continuous Optimization Problems (Page 123)
Eric O. Scott and Kenneth A. De Jong (George Mason University)
Supplemental Material:



Digital Entertainment Technologies and Arts (back to top)

A Proposal for Distributed Interactive Differential Evolution -In A Case of Creating Sign Sounds for Multiple Users (Page 125)
Makoto FUKUMOTO and Kota NOMURA (Fukuoka Institute of Technology)
Supplemental Material:


Collaborative Interactive Evolution in Minecraft (Page 127)
Pablo González de Prado Salas and Sebastian Risi (IT University of Copenhagen)
Supplemental Material:


Hybrid Fighting Game AI using Genetic Algorithm and Monte Carlo Tree Search (Page 129)
Man-Je Kim and Chang Wook Ahn (Gwangju Institute of Science and Technology (GIST))
Supplemental Material:


Towards an experiment on perception of affective music generation using MetaCompose (Page 131)
Marco Scirea (University of Southern Denmark), Sebastian Risi (IT University of Copenhagen), Julian Togelius (New York University), and Peter Eklund (IT University of Copenhagen)
Supplemental Material:


Silhouette-based Three Dimensional Image Registration Using CMA-ES with Joint Scheme of Partial Restart and Variable Fixing (Page 133)
Takuto Shigenobu and Takuya Ushinohama (Kagoshima University), Hiroshi Kawasaki (Kyushu University), and Satoshi Ono (Kagoshima University)
Supplemental Material:



Evolutionary Combinatorial Optimization and Metaheuristics (back to top)

Relating Training Instances to Automatic Design of Algorithms for Bin Packing via Features (Page 135)
Alexander Edward Ian Brownlee (University of Stirling), John Robert Woodward (Queen Mary University of London), and Nadarajen Veerapen (University of Stirling)
Supplemental Material:


Distance-based Exponential Probability Models on Constrained Combinatorial Optimization Problems (Page 137)
Josu Ceberio and Alexander Mendiburu (University of the Basque Country) and Jose Antonio Lozano (University of the Basque Country, Basque Center for Applied Mathematics (BCAM))
Supplemental Material:


A Network Design Problem with Location, Inventory and Routing Decisions (Page 139)
Onur Kaya (Anadolu University) and Dogus Ozkok (Koc University)
Supplemental Material:


Genetic Programming Hyper-Heuristic for Multi-Vehicle Uncertain Capacitated Arc Routing Problem (Page 141)
Yi Mei and Mengjie Zhang (Victoria University of Wellington)
Supplemental Material:


A Histogram Estimation of Distribution Algorithm for Resource Scheduling (Page 143)
Li-Tao Tan, Wei-Neng Chen, and Jun Zhang (South China University of Technology)
Supplemental Material:


An Energy-Efficient Single Machine Scheduling with Release Dates and Sequence-Dependent Setup Times (Page 145)
M. Fatih Tasgetiren (Yasar University), Ugur Eliiyi (Dokuz Eylul University), Hande Öztop and Damla Kizilay (Yasar University), and Quan-Ke Pan (Huazhong University of Science and Technology)
Supplemental Material:


EDA-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition (Page 147)
Chen Wang, Hui Ma, and Gang Chen (Victoria University of Wellington)
Supplemental Material:


Feature Construction in Genetic Programming Hyper-heuristics for Dynamic Flexible Job Shop Scheduling (Page 149)
Daniel Yska, Yi Mei, and Mengjie Zhang (Victoria University of Wellington)
Supplemental Material:


An Efficient Approximation to the Barrier Tree Using the Great Deluge Algorithm (Page 151)
Hansang Yun and Byung-Ro Moon (Seoul National University)
Supplemental Material:


Local Intensity in Memetic Algorithm: Case Study in CARP (Page 153)
Zhi-Wei Zeng, Xiao-Min Hu, Min Li, and Yu Luo (Guangdong University of Technology)
Supplemental Material:



Evolutionary Machine Learning (back to top)

Reinforcement Learning for Evolutionary Distance Metric Learning Systems Improvement (Page 155)
Bassel Ali and Wasin Kalintha (Osaka University), Koichi Moriyama (Nagoya Institute of Technology), and Masayuki Numao and Ken-ichi Fukui (Osaka University)
Supplemental Material:


Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization (Page 157)
Travis Desell (University of North Dakota)
Supplemental Material:


Neuroevolution under Unimodal Error Landscapes: An Exploration of the Semantic Learning Machine Algorithm (Page 159)
Jan-Benedikt Jagusch (NOVA IMS, Universidade Nova de Lisboa); Ivo Gonçalves (INESC Coimbra, DEEC, University of Coimbra); and Mauro Castelli (NOVA IMS, Universidade Nova de Lisboa)
Supplemental Material:


Clustering sensory inputs using NeuroEvolution of Augmenting Topologies (Page 161)
David Kadish (IT University of Copenhagen, École Polytechnique Fédérale de Lausanne)
Supplemental Material:


Confidence-Based Ensemble Modeling in Medical Data Mining (Page 163)
Lukas Kammerer and Michael Affenzeller (FH Hagenberg, Johannes Kepler University)
Supplemental Material:


Building Boosted Classification Tree Ensemble with Genetic Programming (Page 165)
Sašo Karakatič and Vili Podgorelec (University of Maribor, Institute of Informatics FERI)
Supplemental Material:


Multiobjective Optimization based Subspace Clustering using Evolvable Genome structure (Page 167)
Dipanjyoti Paul, Sriparna Saha, and Jimson Mathew (Indian Institute of Technology, Patna)
Supplemental Material:


Learning How to Flock: Deriving Individual Behaviour from Collective Behaviour with Multi-Agent Reinforcement Learning and Natural Evolution Strategies (Page 169)
Koki Shimada (University College London) and Peter Bentley (University College London, Braintree Ltd.)
Supplemental Material:


A Neuroevolution Strategy Using Multi-agent Incorporated Hierarchical Ensemble Model (Page 171)
Kuan-Wu Su, Min-Chieh Yu, and Jenq-Shiou Leu (National Taiwan University of Science and Technology)
Supplemental Material:


A Study of Automatic Clustering Based on Evolutionary Many-objective Optimization (Page 173)
Shuwei Zhu, Lihong Xu, and Leilei Cao (Tongji University)
Supplemental Material:



Evolutionary Multiobjective Optimization (back to top)

Modeling dependencies between decision variables and objectives with copula models (Page 175)
Abdelhakim Cheriet (Kasdi Merbah Ouargla University) and Roberto Santana (Intelligent Systems Group, University of the Basque Country)
Supplemental Material:


Benchmarking Multiobjective Evolutionary Algorithms and Constraint Handling Techniques on a Real-World Car Structure Design Optimization Benchmark Problem (Page 177)
Hiroaki Fukumoto and Akira Oyama (Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency)
Supplemental Material:


Introducing a Linkage Identification Considering non-Monotonicity to Multi-objective Evolutionary Optimization with Decomposition for Real-valued Functions (Page 179)
Kousuke Izumiya and Masaharu Munetomo (Hokkaido University)
Supplemental Material:


Accelerating a multi-objective memetic algorithm for feature selection using hierarchical k-means indexes (Page 181)
Francia Jimenez, Claudio Sanhueza, Regina Berretta, and Pablo Moscato (The University of Newcastle)
Supplemental Material:


Proposal of Benchmark Problem Based on Real-World Car Structure Design Optimization (Page 183)
Takehisa Kohira and Hiromasa Kemmotsu (Mazda Motor Corporation), Oyama Akira (Japan Aerospace Exploration Agency), and Tomoaki Tatsukawa (Tokyo University of Science)
Supplemental Material:


An analysis of epsilon-lexicase selection for large-scale many-objective optimization (Page 185)
William La Cava and Jason Moore (University of Penn)
Supplemental Material:


Preference-based Evolutionary Algorithms for Many-Objective Mission Planning of Agile Earth Observation Satellites (Page 187)
Longmei Li, Hao Chen, Jing Wu, Jun Li, and Ning Jing (National University of Defense Technology) and Michael Emmerich (Leiden University)
Supplemental Material: pos215s1-file2.pdf


Pareto dominance-based MOEAs on Problems with Difficult Pareto Set Topologies (Page 189)
Yuri Marca and Hernán Aguirre (Shinshu University); Saúl Zapotecas (Universidad Autónoma Metropolitana); Arnaud Liefooghe and Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe); Sébastien Verel (Université du Littoral Côte d'Opale); and Kiyoshi Tanaka (Shinshu University)
Supplemental Material:


Studying MOEAs Dynamics and their Performance using a Three Compartmental Model (Page 191)
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:


Studying the Effect of Techniques to Generate Reference Vectors in Many-objective Optimization (Page 193)
Miriam Pescador-Rojas (ESCOM-IPN, CINVESTAV-IPN) and Carlos A. Coello Coello (CINVESTAV-IPN)
Supplemental Material: pos151s2-file2.zip


Trust-region based Algorithms with Low-budget for Multi-objective Optimization (Page 195)
Proteek Chandan Roy, Julian Blank, Rayan Hussein, and Kalyanmoy Deb (Michigan State University)
Supplemental Material:


Bilevel Innovization: Knowledge Discovery in Scheduling Systems using Evolutionary Bilevel Optimization and Visual Analytics (Page 197)
Julian Schulte, Niclas Feldkamp, Sören Bergmann, and Volker Nissen (Technische Universität Ilmenau)
Supplemental Material: pos212s1-file2.zip


Balancing Exploration and Exploitation in Multiobjective Evolutionary Optimization (Page 199)
Jianyong Sun (Xi'an Jiaotong University), Hu Zhang (the Beijing Electro-mechanical Engineering Institute), Qingfu Zhang (City University of Hong Kong), and Huanhuan Chen (University of Science and Technology of China)
Supplemental Material:


Visualization of The Boundary Solutions of High Dimensional Pareto Front from A Decision Maker's Perspective (Page 201)
AKM Khaled Ahsan Talukder, Kalyanmoy Deb, and Julian Blank (Michigan State University)
Supplemental Material:


An Efficient Nondominated Sorting Algorithm (Page 203)
Junchen Wang, Changhe Li, Yiya Diao, and Sanyou Zeng (China University of Geosciences) and Hui Wang (Nanchang Institute of Technology)
Supplemental Material:


On Asynchronous Non-Dominated Sorting for Steady-State Multiobjective Evolutionary Algorithms (Page 205)
Ilya Yakupov and Maxim Buzdalov (ITMO University)
Supplemental Material:



Evolutionary Numerical Optimization (back to top)

Accelerating Differential Evolution Using Multiple Exponential Cauchy Mutation (Page 207)
Tae Jong Choi (Sungkyunkwan University) and Chang Wook Ahn (Gwangju Institute of Science and Technology)
Supplemental Material:


Investigating Benchmarks for Comparing Algorithms with Parameter Tuning (Page 209)
Lee Ashley Christie and Alexander Edward Ian Brownlee (University of Stirling) and John Robert Woodward (Queen Mary University of London)
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Exploratory Landscape Analysis Using Algorithm Based Sampling (Page 211)
Yaodong He, Shiu Yin Yuen, and Yang Lou (City University of Hong Kong)
Supplemental Material:


Dynamic Constrained Multi-objective Evolutionary Algorithms with A Novel Selection Strategy for Constrained Optimization (Page 213)
Ruwang Jiao and Sanyou Zeng (China University of Geosciences); Changhe Li (China University of Geosciences, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems); and Yuhong Jiang (China University of Geosciences)
Supplemental Material:


Multipopulation Evolution Framework for Multifactorial Optimization (Page 215)
Genghui Li (City University of Hong Kong); Qingfu Zhang (City University of Hong Kong, City University of Hong Kong Shenzhen Research Institute); and Weifeng Gao (Xidian University)
Supplemental Material: pos173s1-file2.pdf


Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering (Page 217)
Yongsheng Liang, Zhigang Ren, Bei Pang, and An Chen (Xi'an Jiaotong University)
Supplemental Material:


An adapting population size approach in the CMA-ES for multimodal functions (Page 219)
Duc Manh Nguyen (Department of Mathematics and Informatics, Hanoi National University of Education)
Supplemental Material:


Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models (Page 221)
Bei Pang, Zhigang Ren, Yongsheng Liang, and An Chen (Xi'an Jiaotong University)
Supplemental Material:


Extension of Weighted Empirical Distribution and Group-based Adaptive Differential Evolution for Joint Chance Constrained Problems (Page 223)
Kiyoharu Tagawa (Kinki University)
Supplemental Material:


Multi-Fidelity Surrogate Model Approach to Optimization (Page 225)
Sander van Rijn (LIACS, Leiden University); Sebastian Schmitt and Markus Olhofer (Honda Research Institute Europe GmbH); Matthijs van Leeuwen (LIACS, Leiden University); and Thomas Bäck (Leiden University)
Supplemental Material:


A Note on the CMA-ES for Functions with Periodic Variables (Page 227)
Takahiro Yamaguchi (Shinshu University) and Youhei Akimoto (University of Tsukuba)
Supplemental Material:


A study of similarity measure between tasks for multifactorial evolutionary algorithm (Page 229)
Lei Zhou and Liang Feng (Chongqing University), Jinghui Zhong (South China University of Technology), zexuan zhu (Shenzhen University), Bingshui Da (Nanyang Technological University), and Zhou Wu (Chongqing University)
Supplemental Material:



Genetic Algorithms (back to top)

A Comparative Study on Algorithms for Influence Maximization in Social Networks (Page 231)
Yu-Hsiang Chung and Tuan-Fang Fan (National Penghu University of Science and Technology) and Churn-Jung Liau (Academia Sinica)
Supplemental Material:


A Modern, Event-Based Architecture For Distributed Evolutionary Algorithms (Page 233)
Mario García-Valdez (Instituto Tecnológico de Tijuana) and JJ Merelo (University of Granada)
Supplemental Material:


Using Genetic Algorithms based on Neighbor List Mechanism to Reduce Handover Latency for IEEE 802.11 WLAN (Page 235)
Lina Hao and Bryan Ng (Victoria University of Wellington)
Supplemental Material:


Genetic optimisation of BCI systems for identifying games related cognitive states (Page 237)
Andrei Iacob, Mihail Morosan, Francisco Sepulveda, and Riccardo Poli (University of Essex)
Supplemental Material:


Prediction of Energy Consumption in a NSGA-II-based Evolutionary Algorithm (Page 239)
Salvador Moreno, Julio Ortega, Miguel Damas, Hector Pomares, Jesus Gonzalez, and Antonio Diaz (University of Granada)
Supplemental Material:


The influence of fitness caching on modern evolutionary methods and fair computation load measurement (Page 241)
Michal Witold Przewozniczek and Marcin Michal Komarnicki (Wroclaw University of Science and Technology)
Supplemental Material:


NetSynth: A Framework for Synthesizing Customized Network Protocols using Genetic Programming (Page 243)
Mohammad Roohitavaf, Ling Zhu, Sandeep Kulkarni, and Subir Biswas (Michigan State University)
Supplemental Material: pos218s1-file2.zip



General Evolutionary Computation and Hybrids (back to top)

Heterogeneous Island Model with Re-planning of Methods (Page 245)
Štěpán Balcar and Martin Pilát (Charles University, Faculty of Mathematics and Physics)
Supplemental Material:


An Evolutionary Algorithm with A New Operator and An Adaptive Strategy for Large-Scale Portfolio Problem (Page 247)
Yi Chen, Aimin Zhou, and Liang Dou (East China Normal University)
Supplemental Material:


Voronoi-Based Archive Sampling for Robust Optimisation (Page 249)
Kevin Doherty, Khulood Alyahya, Jonathan E. Fieldsend, and Ozgur E. Akman (University of Exeter)
Supplemental Material:


A Hybrid Differential Evolution and Estimation of Distribution Algorithm for the Multi-Point Dynamic Aggregation Problem (Page 251)
Rong Hao (School of Automation, Beijing Institute of Technology); Jia Zhang (School of Automation, Beijing Institute of Technology; State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology); Bin Xin (School of Automation, Beijing Institute of Technology; Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology); and Chen Chen and Lihua Dou (School of Automation, Beijing Institute of Technology; State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology)
Supplemental Material: pos168s1-file2.gz


Crowding Distance based Promising Solution Selection in Surrogate Assisted Asynchronous Multi-Objective Evolutionary Algorithm (Page 253)
Tomohiro Harada, Misaki Kaidan, and Ruck Thawonmas (Ritsumeikan University)
Supplemental Material:


Towards Management of Complex Modeling through a Hybrid Evolutionary Identification (Page 255)
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolai O. Nikitin, Anna V. Kalyuzhnaya, Klavdiya O. Bochenina, and Danila A. Vaganov (ITMO University)
Supplemental Material:


Ranking Empirical Cumulative Distribution Functions using Stochastic and Pareto Dominance (Page 257)
Hao Wang and Thomas Bäck (Leiden University)
Supplemental Material:


Preselection via One-class Classification for Evolutionary Optimization (Page 259)
Jinyuan Zhang, Aimin Zhou, and Guixu Zhang (Department of Computer Science, East China Normal University; East China Normal University)
Supplemental Material:


Differential Evolution with Multi-information Guidance (Page 260)
Xinyu Zhou, Yunan Liu, Mingwen Wang, and Jianyi Wan (Jiangxi Normal University); Hui Wang and Wenjun Wang (Nanchang Institute of Technology); and Hu Peng (Jiujiang University)
Supplemental Material:



Genetic Programming (back to top)

Evolving PSO Algorithm Design in Vector Fields Using Geometric Semantic GP (Page 262)
Palina Bartashevich (Otto-von-Guericke University), Illya Bakurov (Universidade Nova de Lisboa), Sanaz Mostaghim (Otto-von-Guericke University), and Leonardo Vanneschi (Universidade Nova de Lisboa)
Supplemental Material:


Classification of Resting-State fMRI for Olfactory Dysfunction in Parkinson’s Disease using Evolutionary Algorithms (Page 264)
Amir Dehsarvi and Stephen Leslie Smith (University of York)
Supplemental Material:


Multi-Population Genetic Programming with Adaptively Weighted Building Blocks for Symbolic Regression (Page 266)
Zhixing Huang, Jinghui Zhong, and Weili Liu (South China University of Technology) and Zhou Wu (Chongqing University)
Supplemental Material:


Generating Term Weighting Schemes through Genetic Programming (Page 268)
Ahmad Mazyad, Fabien Teytaud, and Cyril Fonlupt (Université du Littoral Côte d'Opale)
Supplemental Material:


Exploring the Application of GOMEA to Bit-string GE (Page 270)
Eric Medvet, Alberto Bartoli, and Andrea De Lorenzo (Dipartimento di Ingegneria e Architettura, Università degli Studi di Trieste)
Supplemental Material:


On the Effect of Function Set to the Generalisation of Symbolic Regression Models (Page 272)
Miguel Nicolau (University College Dublin) and Alexandros Agapitos (EvoSys Analytics)
Supplemental Material:


Analyzing Effects of Various Trust in Product Recalls Using a Social Simulation with a Co-Evolution Model (Page 274)
Tetsuroh Watanabe, Taro Kanno, and Kazuo Furuta (The University of Tokyo)
Supplemental Material:



Real World Applications (back to top)

Performance Assessment of a Modified Multi-objective Cuckoo's Search Algorithm for Microgrid Planning considering uncertainties (Page 276)
Andrés Felipe Acosta León (Universidad Nacional de Colombia), Sergio Felipe Contreras Paredes (Universität Bremen), and Camilo Andrés Cortés Guerrero (Universidad Nacional de Colombia)
Supplemental Material:


A sentiment analysis-based machine learning approach for financial market prediction via news disclosures (Page 278)
Raymond Chiong and Zongwen Fan (The University of Newcastle), Zhongyi Hu (Wuhan University), Marc T.P. Adam (The University of Newcastle), and Bernhard Lutz and Dirk Neumann (University of Freiburg)
Supplemental Material:


Autonomous Deployment of Mobile Sensors Network in an Unknown Indoor Environment with Obstacles (Page 280)
Khouloud Eledlebi (Khalifa University), Dymitr Ruta and Fabrice Saffre (Emirates ICT Innovation Center), and Yousof Alhammadi and A.F. Isakovic (Khalifa University)
Supplemental Material:


An Optimization Study of Screw Position and Number of Screws for the Fixation Stability of a Distal Femoral Locking Compression Plate Using Genetic Algorithms (Page 282)
Ching-Chi Hsu (National Taiwan University of Science and Technology), Chian-Her Lee (Taipei Medical University and Hospital), and Sung-Ming Hsu (National Taiwan University of Science and Technology)
Supplemental Material:


Evolving Imaging Model for Super-Resolution Reconstruction (Page 284)
Michal Kawulok, Pawel Benecki, and Daniel Kostrzewa (Future Processing, Silesian University of Technology) and Lukasz Skonieczny (Future Processing)
Supplemental Material:


Discovering Pareto-optimal Process Models: A Comparison of MOEA Techniques (Page 286)
Sonia Kundu (Department of Computer Science, University of Delhi); Manoj Agarwal (Hans Raj College, University of Delhi); Shikha Gupta (Shaheed Sukhdev College of Business Studies, University of Delhi); and Naveen Kumar (Department of Computer Science, University of Delhi)
Supplemental Material:


SIALAC Benchmark: On the design of adaptive algorithms for traffic lights problems (Page 288)
Florian Leprêtre, Cyril Fonlupt, Sébastien Verel, and Virginie Marion (Université du Littoral Côte d'Opale)
Supplemental Material:


Genetic Algorithm based Sleep Scheduling for Maximizing Lifetime of Wireless Sensor Networks (Page 290)
Jingjing LI and Zhipeng LUO (South China Normal University)
Supplemental Material:


Improving Greenhouse Control Using Crop-Model-Driven Multi-Objective Optimization (Page 292)
José R. Llera and Erik D. Goodman (Michigan State University, BEACON Center for the Study of Evolution in Action); Erik S. Runkle (Michigan State University, Department of Horticulture); and Lihong Xu (Tongji University)
Supplemental Material:


Evolutionary Design of Large Approximate Adders Optimized for Various Error Criteria (Page 294)
Vojtech Mrazek and Zdenek Vasicek (Brno University of Technology)
Supplemental Material:


Evolutionary Multi-objective Air-Conditioning Schedule Optimization for Office Buildings (Page 296)
Yoshihiro Ohta (Mitsubishi Electric Building Techno-service Co., Ltd.) and Hiroyuki Sato (The University of Electro-Communications)
Supplemental Material:


Towards a Small Diverse Pareto-optimal Solutions Set Generator for Multiobjective Optimization Problems (Page 298)
Courtney Ricardo Powell (Hokkaido University), Katsunori Miura (Kitami Institute of Technology), and Masaharu Munetomo (Hokkaido University)
Supplemental Material:


Competitive Coevolutionary Algorithm Decision Support (Page 300)
Daniel Prado Sánchez, Marcos A. Pertierra, Erik Hemberg, and Una-May O'Reilly (MIT)
Supplemental Material:


Using Ensemble Modeling to Determine Causes of Multifactorial Disorders (Page 302)
Ian Rogers and Ranjan Srivastava (University of Connecticut)
Supplemental Material:


Total Optimization of Smart City by Global-best Brain Storm Optimization (Page 304)
Mayuko SATO and Yoshikazu Fukuyama (Meiji University)
Supplemental Material:


Massively Parallelized Co-evaluation for Many-Objective Space Trajectory Optimization (Page 306)
Martin Schlueter and Masaharu Munetomo (University of Hokkaido)
Supplemental Material:


Natural Evolution Tells us How to Best Make Goods Delivery: Use Vans (Page 308)
Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, and Enrique Alba (University of Malaga)
Supplemental Material:


Estimating Parameters for a Dynamical Dengue Model Using Genetic Algorithms (Page 310)
Joshua Uyheng, John Clifford Rosales, Kennedy Espina, and Ma. Regina Justina Estuar (Ateneo de Manila University)
Supplemental Material:


A Novel Genetic Algorithm for Lifetime Maximization of Wireless Sensor Networks with Adjustable Sensing Range (Page 312)
Zihui Wu (South China University of Technology), Ying Lin (Sun Yat-sen University), Yuejiao Gong (South China University of Technology), Zhengjia Dai (Sun Yat-sen University), and Jun Zhang (South China University of Technology)
Supplemental Material:



Search-Based Software Engineering (back to top)

Identification of Potential Classes in Procedural Code Using a Genetic Algorithm (Page 314)
Farshad Ghassemi Toosi, Asanka Wasala, and Goetz Botterweck (Lero, University of Limerick) and Jim Buckley (CSIS, University of Limerick)
Supplemental Material:


Search-based mutation testing to improve performance tests (Page 316)
Ana B. Sánchez (Universidad de Sevilla), Pedro Delgado-Pérez and Inmaculada Medina-Bulo (Universidad de Cádiz), and Sergio Segura (Universidad de Sevilla)
Supplemental Material:


Solving Team Making Problem for Crowdsourcing with Hybrid Metaheuristic Algorithm (Page 318)
Han Wang, Zhilei Ren, Xiaochen Li, Xin Chen, and He Jiang (Dalian University of Technology)
Supplemental Material:


A Dynamic Fitness Function for Search Based Software Testing (Page 320)
Xiong Xu (Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences); Li Jiao (Institute of Software Chinese Academy of Sciences); and Ziming Zhu (Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences)
Supplemental Material:



Theory (back to top)

Better Fixed-Arity Unbiased Black-Box Algorithms (Page 322)
Nina Bulanova and Maxim Buzdalov (ITMO University)
Supplemental Material: pos246s1-file2.gz


Bayesian Inference for Algorithm Ranking Analysis (Page 324)
Borja Calvo, Josu Ceberio, and Jose Antonio Lozano (University of the Basque Country)
Supplemental Material:


A Parameterized Runtime Analysis of Randomized Local Search and Evolutionary Algorithm for Max l-Uncut (Page 326)
Pallavi Jain, Lawqueen Kanesh, and Jayakrishnan Madathil (The Institute of Mathematical Sciences) and Saket Saurabh (The Institute of Mathematical Sciences, University of Bergen)
Supplemental Material: pos251s1-file2.pdf




Tutorials


Introductory Tutorials (back to top)

Search-based Test Optimization for Software Systems (Page 328)
Shaukat Ali (Simula Research Laboratory)


Tutorial on Evolutionary Multiobjective Optimization (Page 349)
Dimo Brockhoff (Inria; CMAP, Ecole Polytechnique)


Evolutionary Computation: A Unified Approach (Page 373)
Kenneth De Jong (Krasnow Institute, George Mason University)


Theory for Non‐Theoreticians (Page 389)
Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX))


Shift Your Research & Laboratory into Higher Gear with 3 Shift Skills & 4 Smooth Rules (Page 415)
David E. Goldberg (ThreeJoy Associates, Inc.; University of Illinois (Emeritus))


Neuroevolution for Deep Reinforcement Learning Problems (Page 421)
David Ha (Google Brain)


A Practical Guide to Experimentation (Page 432)
Nikolaus Hansen (Inria)


Runtime Analysis of Evolutionary Algorithms: Basic Introduction (Page 448)
Per Kristian Lehre (University of Birmingham) and Pietro S. Oliveto (University of Sheffield)


Evolution of Neural Networks (Page 469)
Risto Miikkulainen (The University of Texas at Austin, Sentient Technologies Inc.)


Introduction to Genetic Programming (Page 489)
Una-May O'Reilly (MIT)


Search-Maps: Visualising and Exploiting the Global Structure of Computational Search Spaces (Page 504)
Gabriela Ochoa and Nadarajen Veerapen (University of Stirling)


Representations for Evolutionary Algorithms (Page 518)
Franz Rothlauf (Universität Mainz)


Introductory Mathematical Programming for EC (Page 539)
Ofer M. Shir (Tel-Hai College, The Galilee Research Institute - Migal)


Model-Based Evolutionary Algorithms (Page 553)
Dirk Thierens (Utrecht University) and Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI))


Evolutionary Computation and Games (Page 584)
Julian Togelius and Sebastian Risi (IT University of Copenhagen) and Georgios N. Yannakakis (University of Malta)


Introducing Learning Classifier Systems: Rules that Capture Complexity (Page 619)
Ryan Urbanowicz (University of Pennsylvania) and Danilo Vargas (Kyushu University)


Introductory Statistics for EC: A Visual Approach (Page 649)
Mark Wineberg (University of Guelph)


Hyper-heuristics (Page 685)
John R. Woodward (Queen Mary University of London, QUEEN MARY UNIVERSITY OF LONDON) and Daniel R. Tauritz (Missouri University of Science and Technology)



Advanced Tutorials (back to top)

CMA-ES and Advanced Adaptation Mechanisms (Page 720)
Youhei Akimoto (University of Tsukuba) and Nikolaus Hansen (Inria)


Simulation Optimization (Page 745)
Juergen Branke (University of Warwick)


Constraint-Handling Techniques used with Evolutionary Algorithms (Page 773)
Carlos Artemio Coello Coello (CINVESTAV-IPN)


Dynamic Parameter Choices in Evolutionary Computation (Page 800)
Carola Doerr (CNRS and Sorbonne University)


Particle Swarm Optimization: A Guide to Effective, Misconception Free, Real World Use (Page 831)
Andries Engelbrecht and Christopher Wesley Cleghorn (University of Pretoria)


Visualization in Multiobjective Optimization (Page 858)
Bogdan Filipic and Tea Tusar (Jozef Stefan Institute)


Solving Complex Problems with Coevolutionary Algorithms (Page 880)
Krzysztof Krawiec (Poznan University of Technology) and Malcolm Heywood (Dalhousie University)


Decomposition Multi-Objective Optimisation: Current Developments and Future Opportunities (Page 907)
Ke Li (University of Exeter) and Qingfu Zhang (City University of Hong Kong)


Evolutionary Computation for Digital Art (Page 937)
Aneta Neumann and Frank Neumann (The University of Adelaide)


Sequential Experimentation by Evolutionary Algorithms (Page 956)
Ofer M. Shir (Tel-Hai College, The Galilee Research Institute - Migal) and Thomas Bäck (Leiden University)


Expressive Genetic Programming: Concepts and Applications (Page 977)
Lee Spector (Hampshire College, University of Massachusetts Amherst) and Nicholas Freitag McPhee (University of Minnesota, Morris)


Promoting Diversity in Evolutionary Optimization: Why and How (Page 998)
Giovanni Squillero (Politecnico di Torino) and Alberto Tonda (INRA)


Evolutionary Reinforcement Learning: General Models and Adaptation (Page 1017)
Danilo Vasconcellos Vargas (Kyushu University)


Next Generation Genetic Algorithms (Page 1039)
Darrell D. Whitley (Colorado State University)



Specialized Tutorials (back to top)

Evolutionary Robotics (Page 1060)
Stephane Doncieux and Nicolas Bredeche (Université Pierre et Marie Curie, CNRS) and Jean-Baptiste Mouret (Inria, CNRS)


Automated Offline Design of Algorithms (Page 1093)
Manuel López-Ibáñez (Decision and Cognitive Sciences Research Centre, Alliance Manchester Business School, University of Manchester) and Thomas Stützle (IRIDIA, Université Libre de Bruxelles)


Bio-Inspired Approaches to Anomaly and Intrusion Detection (Page 1121)
Luis Martí (Universidade Federal Fluminense) and Marc Schoenauer (Inria)


Cloudy Distributed Evolutionary Computation (Page 1138)
JJ Merelo (University of Granada)


Medical Applications of Evolutionary Computation (Page 1141)
Stephen L. Smith (University of York)


Theory of Estimation-of-Distribution Algorithms (Page 1170)
Carsten Witt (Technical University of Denmark)


Evolutionary Computation for Feature Selection and Feature Construction (Page 1198)
Bing Xue and Mengjie Zhang (Victoria University of Wellington)


Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition (Page 1221)
Mengjie Zhang (Victoria University of Wellington) and Stefano Cagnoni (University of Parma)



Workshop Papers


Workshop Surrogate-Assisted Evolutionary Optimisation (back to top)

Evaluating Surrogate Models for Multi-Objective Influence Maximization in Social Networks (Page 1258)
Doina Bucur (University of Twente); Giovanni Iacca (University of Trento); Andrea Marcelli and Giovanni Squillero (Politecnico di Torino); and Alberto Tonda (INRA, UMR 782 GMPA)
Supplemental Material:


Asynchronous Surrogate-assisted Optimization Networks (Page 1266)
Johannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner, and Michael Affenzeller (University of Applied Sciences Upper Austria)
Supplemental Material:



Workshop Industrial Application of Metaheuristics (back to top)

Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming (Page 1268)
Daniel Hein (Siemens AG, Munich; Technical University of Munich); Steffen Udluft (Siemens AG, Munich); and Thomas A. Runkler (Siemens AG, Munich; Technical University of Munich)
Supplemental Material:



Workshop Parallel and Distributed Evolutionary Inspired Methods (back to top)

An Actor Model Implementation of Distributed Factored Evolutionary Algorithms (Page 1276)
Stephyn G. W. Butcher (Johns Hopkins University) and John W. Sheppard (Montana State University)
Supplemental Material:


A Parallel Island Model for Biogeography-Based Classification Rule Mining in Julia (Page 1284)
Samuel Ebert, Effat Farhana, and Steffen Heber (North Carolina State University)
Supplemental Material:


Effective Processor Load Balancing using Multi-Objective Parallel Extremal Optimization (Page 1292)
Ivanoe De Falco (Institute of High Performance Computing and Networking, CNR); Eryk Laskowski (Institute of Computer Science Polish Academy of Sciences); Richard Olejnik (Universite Lille, CNRS, Centrale Lille, UMR 9189 - CRISTAL - Centre de Recherche en Informatique, Signal et Automatique de Lille); Umberto Scafuri and Ernesto Tarantino (Institute of High Performance Computing and Networking, CNR); and Marek Tudruj (Institute of Computer Science PAS)
Supplemental Material:


Vectorized Candidate Set Selection for Parallel Ant Colony Optimization (Page 1300)
Joshua Peake, Huw Lloyd, Martyn Amos, and Paraskevas Yiapanis (Manchester Metropolitan University)
Supplemental Material:



Workshop Evolution in Cognition (back to top)

The Flouted Naming Game: Contentions and Conventions in Culture (Page 1307)
Harold P. de Vladar (Konrad Lorenz Institute, Hungarian Academy of Sciences)
Supplemental Material:


Meta Learning by the Baldwin Effect (Page 1313)
Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, and Andrei Rusu (Google DeepMind)
Supplemental Material: wksp130s2-file2.zip



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

Maze Benchmark for Testing Evolutionary Algorithms (Page 1321)
Camilo Alejandro Alaguna Córdoba and Jonatan Gómez Perdomo (Universidad Nacional de Colombia)
Supplemental Material:


The Impact of Statistics for Benchmarking in Evolutionary Computation Research (Page 1329)
Tome Eftimov and Peter Korošec (Jožef Stefan Institute)
Supplemental Material:


Evolving Benchmark Functions Using Kruskal-Wallis Test (Page 1337)
Yang Lou, Shiu Yin Kelvin Yuen, and Guanrong Ron Chen (City University of Hong Kong)
Supplemental Material:


Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach (Page 1342)
Luiz Otavio Vilas Boas Oliveira, Joao Francisco Barreto da Silva Martins, Luis Fernando Miranda, and Gisele Lobo Pappa (Universidade Federal de Minas Gerais)
Supplemental Material:



Workshop Evolutionary Computation Software Systems (back to top)

Performance Assessment of Multi-Objective Evolutionary Algorithms With the R Package ecr (Page 1350)
Jakob Bossek (University of Münster)
Supplemental Material:


Review: A Web-Based Simulation Viewer for Sharing Evolutionary Robotics Results (Page 1357)
Anthony J. Clark (Missouri State University) and Jared M. Moore (Grand Valley State University)
Supplemental Material:


A Generic Distributed Microservices and Container based Framework for Metaheuristic Optimization (Page 1363)
Hatem Khalloof, Wilfried Jakob, Jianlei Liu, Eric Braun, Shadi Shahoud, Clemens Duepmeier, and Veit Hagenmeyer (Karlsruhe Institute of Technology, IAI)
Supplemental Material:


Performance improvements of evolutionary algorithms in Perl 6 (Page 1371)
JJ Merelo (University of Granada) and José-Mario García Valdez (Instituto Tecnológico de Tijuana)
Supplemental Material:


Plushi: An Embeddable, Language Agnostic, Push Interpreter (Page 1379)
Edward Pantridge (MassMutual, Hampshire College) and Lee Spector (Hampshire College)
Supplemental Material:


Evo-ROS: Integrating Evolution and the Robot Operating System (Page 1386)
Glen A. Simon (Michigan State University), Jared M. Moore (Grand Valley State University), Anthony J. Clark (Missouri State University), and Philip K. McKinley (Michigan State University)
Supplemental Material:



Workshop Learning Classifier Systems (back to top)

Modulated Clustering Using Integrated Rough Sets and Scatter Search Attribute Reduction (Page 1394)
Abdel-Rahman Hedar (Assiut University), Abdel-Monem Ibrahim (Al-Azhar University), and Alaa Abdel-Hakim and Adel Sewisy (Assiut University)
Supplemental Material:


Optimizing clustering to promote data diversity when generating an ensemble classifier (Page 1402)
Zohaib Muhammad Jan, Brijesh Verma, and Sam Fletcher (Central Queensland University)
Supplemental Material:


Integrating Anticipatory Classifier Systems with OpenAI Gym (Page 1410)
Norbert Kozłowski and Olgierd Unold (Wroclaw University of Technology)
Supplemental Material: wksp117s2-file2.pdf


XCSR Based on Compressed Input by Deep Neural Network for High Dimensional Data (Page 1418)
Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, and Hiroyuki Sato (The University of Electro-Communications); Tim Kovacs (University of Bristol); and Keiki Takadama (The The University of Electro-Communications)
Supplemental Material:


Model Parameter Adaptive Instance-Based Policy Optimization for Episodic Control Tasks of Nonholonomic Systems (Page 1426)
Kyotaro Ohashi, Natsuki Fujiyoshi, and Naoki Sakamoto (Shinshu University) and Youhei Akimoto (University of Tsukuba)
Supplemental Material:


An Algebraic Description of XCS (Page 1434)
David Pätzel and Jörg Hähner (Universität Augsburg)
Supplemental Material:


Applying Accuracy-based LCS to Detecting Anomalous Database Access (Page 1442)
Suin Seo and Sung-Bae Cho (Yonsei University)
Supplemental Material:


EvoNN - A Customizable Evolutionary Neural Network with Heterogenous Activation Functions (Page 1449)
Boris Shabash and Kay Wiese (Simon Fraser University)
Supplemental Material:


XCS-CR: Determining Accuracy of Classifier by its Collective Reward in Action Set toward Environment with Action Noise (Page 1457)
Takato Tatsumi (The University of Electro-Communications), Tim Kovacs (University of Bristol), and Keiki Takadama (The University of Electro-Communications)
Supplemental Material:


Generalizing Rules by Random Forest-based Learning Classifier Systems for High-Dimensional Data Mining (Page 1465)
Fumito Uwano, Koji Dobashi, and Keiki Takadama (The University of Electro-Communications) and Tim Kovacs (University of Bristol)
Supplemental Material:



Workshop Landscape-Aware Heuristic Search (back to top)

Progressive Gradient Walk for Neural Network Fitness Landscape Analysis (Page 1473)
Anna Sergeevna Bosman, Andries Petrus Engelbrecht, and Mardé Helbig (University of Pretoria)
Supplemental Material:


Computationally Efficient Local Optima Network Construction (Page 1481)
Jonathan Edward Fieldsend (University of Exeter)
Supplemental Material:


Filter versus Wrapper Feature Selection based on Problem Landscape Features (Page 1489)
Werner Mostert (University of Pretoria), Katherine Malan (University of South Africa), and Andries Engelbrecht (University of Pretoria)
Supplemental Material:



Workshop Exploration of Inaccessible Environments through Hardware/Software Co-evolution (back to top)

Evolving Hardware Instinctive Behaviors in Resource-scarce Agent Swarms Exploring Hard-to-reach Environments (Page 1497)
Martin Andraud (KU Leuven), Ahmed Hallawa (RWTH Aachen University), Jaro De Roosa (KU Leuven), Eugenio Cantatore (TU Eindhoven), Gerd Ascheid (RWTH Aachen University), and Marian Verhelst (KU Leuven)
Supplemental Material:


A Distributed Epigenetic Shape Formation and Regeneration Algorithm for a Swarm of Robots (Page 1505)
Rahul Shivnarayan Mishra, Tushar Semwal, and Shivashankar B. Nair (Indian Institute of Technology Guwahati)
Supplemental Material: wksp191s2-file2.pdf



Workshop Black Box Optimization Benchmarking 2018 (back to top)

Stopping Criteria, Initialization, and Implementations of BFGS and their Effect on the BBOB Test Suite (Page 1513)
Aurore Blelly and Matheus Felipe-Gomes (Ecole Polytechnique) and Anne Auger and Dimo Brockhoff (Inria; CMAP, Ecole Polytechnique)
Supplemental Material:


Benchmarking a Variant of the CMAES-APOP on the BBOB Noiseless Testbed (Page 1521)
Duc Manh Nguyen (Department of Mathematics and Informatics, Hanoi National University of Education, 136 Xuan Thuy, Cau Giay, Hanoi, Vietnam; Sorbonne Université, IRD, JEAI WARM, Unité de Modélisation Mathématiques et Informatique des Systèmes Complexes, UMMISCO, F-93143, Bondy, France)
Supplemental Material:


Benchmarking the PSA-CMA-ES on the BBOB Noiseless Testbed (Page 1529)
Kouhei Nishida (Shinshu University) and Youhei Akimoto (University of Tsukuba)
Supplemental Material:


Comparing Black-Box Differential Evolution and Classic Differential Evolution (Page 1537)
Aljosa Vodopija (Jozef Stefan Institute, Jozef Stefan International Postgraduate School); Tea Tusar (Jozef Stefan Institute); and Bogdan Filipic (Jozef Stefan Institute, Jozef Stefan International Postgraduate School)
Supplemental Material:



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

The Automated Design of Probabilistic Selection Methods for Evolutionary Algorithms (Page 1545)
Samuel N. Richter and Daniel R. Tauritz (Missouri University of Science and Technology)
Supplemental Material:



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

Visualizing the tape of life: exploring evolutionary history with virtual reality (Page 1553)
Emily L. Dolson and Charles Ofria (Michigan State University)
Supplemental Material:


Visualising the Search Process for Multi-objective Optimisation (Page 1560)
Marde Helbig (University of Pretoria)
Supplemental Material: wksp208s2-file2.zip


VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution (Page 1562)
Rui Wang, Jeff Clune, and Kenneth O. Stanley (Uber AI Labs)
Supplemental Material:



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

Design of HIFU Treatment Plans using an Evolutionary Strategy (Page 1568)
Marta Cudova (Brno University of Technology; Bozetechova 2, Brno); Bradley E. Treeby (University College London; Gower Street, WC1E 6BT, London); and Jiri Jaros (Brno University of Technology; Bozetechova 2, Brno)
Supplemental Material:


Coevolving Behavior and Morphology of Simple Agents that Model Small-scale Robots (Page 1576)
Milen Georgiev, Ivan Tanev, and Katsunori Shimohara (Doshisha University)
Supplemental Material:


Solution Exploration using Multi-Objective Genetic Algorithm for Determining Experiment Candidate (Page 1584)
Lorenzo Perino, Akihiro Fujii, Tsuyoshi Waku, Akira Kobayashi, Satoru Hiwa, and Tomoyuki Hiroyasu (Doshisha University)
Supplemental Material:



Workshop Genetic Improvement 2018 (back to top)

Dynamic Fitness Functions for Genetic Improvement in Compilers and Interpreters (Page 1590)
Oliver Krauss (Johannes Kepler University Linz, University of Applied Sciences Upper Austria); Hanspeter Mössenböck (Johannes Kepler University Linz); and Michael Affenzeller (University of Applied Sciences Upper Austria)
Supplemental Material:


Novelty Search for software improvement of a SLAM system (Page 1598)
Victor R. López-López and Leonardo Trujillo (Instituto Tecnológico de Tijuana) and Pierrick Legrand (Université de Bordeaux)
Supplemental Material:


Assessing Single-Objective Performance Convergence and Time Complexity for Refactoring Detection (Page 1606)
David Nader-Palacio (Universidad Nacional de Colombia); Daniel Rodríguez-Cárdenas (Universidad del Rosario, Universidad Nacional de Colombia); and Jonatan Gomez Perdomo (Universidad Nacional de Colombia)
Supplemental Material:


Towards Modular Large-Scale Darwinian Software Improvement (Page 1614)
Michael Orlov (Shamoon College of Engineering)
Supplemental Material:


Synthesizing Customized Network Protocols using Genetic Programming (Page 1616)
Mohammad Roohitavaf, Ling Zhu, Sandeep Kulkarni, and Subir Biswas (Michigan State University)
Supplemental Material: wksp158s2-file2.zip


Genetic Configuration Sampling: Learning a Sampling Strategy for Fault Detection of Configurable Systems (Page 1624)
Jifeng Xuan and Yongfeng Gu (Wuhan University), Zhilei Ren (Dalian University of Technology), Xiangyang Jia (Wuhan University), and Qingna Fan (HY Cross-Domain)
Supplemental Material:



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

A Genetic Algorithm for Dynamic Controller Placement in Software Defined Networking (Page 1632)
Samuel Champagne (Dalhousie University); Tokunbo Makanju (New York Institute of Technology); and Chengchao Yao, Nur Zincir-Heywood, and Malcolm Heywood (Dalhousie University)
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Evolution of Network Enumeration Strategies in Emulated Computer Networks (Page 1640)
Sean Harris (Missouri University of Science and Technology); Eric Michalak (Los Alamos National Laboratory); Kevin Schoonover, Adam Gausmann, Hannah Reinbolt, Joshua Herman, and Daniel R. Tauritz (Missouri University of Science and Technology); Chris Rawlings (Los Alamos National Laboratory); and Aaron Scott Pope (Missouri University of Science and Technology)
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Adversarial Co-evolution of Attack and Defense in a Segmented Computer Network Environment (Page 1648)
Erik Hemberg (MIT CSAIL); Joseph R. Zipkin, Richard W. Skowyra, and Neal Wagner (MIT Lincoln Lab); and Una-May O'Reilly (MIT CSAIL)
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Real-Time Strategy Game Micro for Tactical Training Simulations (Page 1656)
Sushil J. Louis, Siming Liu, and Tianyi Jiang (Department of Computer Science; University of Nevada, Reno)
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Machine Learning – Based Detection of Water Contamination in Water Distribution Systems (Page 1664)
Hadi Mohammed, Ibrahim Abdul Hameed, and Razak Seidu (Norwegian University of Science and Technology)
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Using Evolutionary Dynamic Optimization for Monitor Selection in Highly Dynamic Communication Infrastructures (Page 1672)
Robin Mueller-Bady and Martin Kappes (Frankfurt University of Applied Sciences) and Francisco Palomo-Lozano and Inmaculada Medina-Bulo (University of Cadiz)
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Automated Design of Network Security Metrics (Page 1680)
Aaron Scott Pope (Missouri University of Science and Technology, Los Alamos National Laboratory); Robert Morning (Los Alamos National Laboratory); Daniel R. Tauritz (Missouri University of Science and Technology); and Alexander Kent (Medtronic)
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Genetic Algorithms for Role Mining in Critical Infrastructure Data Spaces (Page 1688)
Igor Saenko (ITMO University) and Igor Kotenko (St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), ITMO University)
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Workshop Real-world Applications of Continuous and Mixed-integer Optimization (back to top)

Well Placement Optimization for Carbon dioxide Capture and Storage via CMA-ES with Mixed Integer Support (Page 1696)
Atsuhiro MIYAGI and Hajime YAMAMOTO (Taisei Corporation) and Youhei AKIMOTO (University of Tsukuba)
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On Vehicle Surrogate Learning with Genetic Programming Ensembles (Page 1704)
Victor Parque and Tomoyuki Miyashita (Waseda University)
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Workshop Decomposition Techniques in Evolutionary Optimization (back to top)

A Historical Interdependency based Differential Grouping Algorithm for Large Scale Global Optimization (Page 1711)
An Chen and Zhigang Ren (Autocontrol Institute, Xi’an Jiaotong University); Yang Yang (Xi’an Jiaotong University Shenzhen Research School); and Yongsheng Liang and Bei Pang (Autocontrol Institute, Xi’an Jiaotong University)
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A Cooperative Co-evolutionary Algorithm for Large-Scale Multi-Objective Optimization Problems (Page 1716)
Minghan Li and Jingxuan Wei (Xidian University)
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Selfish vs. Global Behavior Promotion in Car Controller Evolution (Page 1722)
Jacopo Talamini, Giovanni Scaini, Eric Medvet, and Alberto Bartoli (DIA, University of Trieste)
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Decomposition-Based Multiobjective Particle Swarm Optimization for Change Detection in SAR Images (Page 1729)
Tao Zhan, Zedong Tang, Maoguo Gong, and Xiangming Jiang (Xidian University) and Jiao Shi (Northwestern Polytechnical University)
Supplemental Material:



Workshop Black Box Discrete Optimization Benchmarking (back to top)

Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers (Page 1737)
Pascal Kerschke, Jakob Bossek, and Heike Trautmann (University of Münster)
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Discrete Real-world Problems in a Black-box Optimization Benchmark (Page 1745)
Sebastian Raggl (University of Applied Sciences Upper Austria); Andreas Beham and Viktoria Hauder (University of Applied Sciences Upper Austria, Johannes Kepler University); Stefan Wagner (University of Applied Sciences Upper Austria); and Michael Affenzeller (University of Applied Sciences Upper Austria, Johannes Kepler University)
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Compiling a Benchmarking Test-Suite for Combinatorial Black-Box Optimization: A Position Paper (Page 1753)
Ofer M. Shir (Tel-Hai College, The Galilee Research Institute - Migal); Carola Doerr (Sorbonne Universite, CNRS, LIP6); and Thomas Bäck (Leiden University)
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A Generic Problem Instance Generator for Discrete Optimization Problems (Page 1761)
Markus Ullrich (University of Applied Sciences Zittau/Görlitz), Thomas Weise (University of Science and Technology of China), and Abhishek Awasthi and Jörg Lässig (University of Applied Sciences Zittau/Görlitz)
Supplemental Material: wksp172s2-file2.zip


Difficult Features of Combinatorial Optimization Problems and the Tunable W-Model Benchmark Problem for Simulating them (Page 1769)
Thomas Weise and Zijun Wu (Hefei University)
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A Black-Box Discrete Optimization Benchmarking (BB-DOB) Pipeline Survey: Taxonomy, Evaluation, and Ranking (Page 1777)
Ales Zamuda (University of Maribor), Christine Zarges (Aberystwyth University), and Miguel Nicolau (University College Dublin)
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Workshop Evolutionary Algorithms for Problems with Uncertainty (back to top)

Robust Multi-Modal Optimisation (Page 1783)
Khulood Alyahya, Kevin Doherty, Ozgur Akman, and Jonathan Fieldsend (University of Exeter)
Supplemental Material: wksp142s2-file2.pdf


A Framework for High-Dimensional Robust Evolutionary Multi-Objective Optimization (Page 1791)
Wei Du (East China University of Science and Technology), Le Tong (Shanghai Normal University), and Yang Tang (East China University of Science and Technology)
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Exploration of the Effect of Uncertainty in Homogeneous and Heterogeneous Multi-agent Societies With Regard to their Average Characteristics (Page 1797)
Milen Georgiev, Ivan Tanev, and Katsunori Shimohara (Doshisha University)
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Workshop Intelligent Operations Management in the Energy Sector (back to top)

Multiobjective Evolutionary Polygonal Approximation for Identifying Crude Oil Reservoirs (Page 1805)
José Luis Guerrero (Universidad Carlos III de Madrid), Luis Martí (Universidade Federal Fluminense), Nayat Sanchez-Pi (Rio de Janeiro State University), and Antonio Berlanga and José Manuel Molina (Universidad Carlos III de Madrid)
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Towards Bundling Minimal Trees in Polygonal Maps (Page 1813)
Victor Parque and Tomoyuki Miyashita (Waseda University)
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Crude Oil Refinery Scheduling: Addressing a Real-World Multiobjective Problem through Genetic Programming and Dominance-based Approaches (Page 1821)
Cristiane Salgado Pereira (Petrobras, Pontifical Catholic University of Rio de Janeiro); Douglas Mota Dias (Rio de Janeiro State University); Marley Rebuzzi Vellasco (Pontifical Catholic University of Rio de Janeiro); Francisco Henrique F. Viana (Celso Suckow da Fonseca Educational Center); and Luís Martí (Universidade Federal Fluminense)
Supplemental Material:



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

Framework for planning the training sessions in triathlon (Page 1829)
Iztok Fister and Janez Brest (University of Maribor), Andres Iglesias (University of Cantabria), and Iztok Jr. Fister (University of Maribor)
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Development of an Evaluation System for Upper Limb Function Using AR Technology (Page 1835)
Yunan He, Ikushi Sawada, Osamu Fukuda, Ryusei Shima, Nobuhiko Yamaguchi, and Hiroshi Okumura (Saga University)
Supplemental Material: wksp139s2-file2.zip


CATARO: A Robot that Tells Caregivers a Patient’s Current Non-Critical Condition Indirectly (Page 1841)
Patrick Hock, Chika Oshima, and Koichi Nakayama (Saga University)
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Sustainable Sensor Network Architecture for Monitoring Human Activities (Page 1845)
Ren Ohmura (Toyohashi University of Technology)
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Can evolutionary computing be applied to dementia care? (Page 1849)
Taro Sugihara (Okayama University)
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Envy based Fairness in Hedonic Games (Page 1852)
Suguru Ueda (Saga University)
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Classifier Generalization for Comprehensive Classifiers Subsumption in XCS (Page 1854)
Caili Zhang, Takato Tatsumi, and Hiyoyuki Sato (The University of Electro-Communications); Tim Kovacs (University of Bristol); and Keiki Takadama (The University of Electro-Communications)
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Workshop Evolutionary Algorithms for Big Data and Massively Complex Problems (back to top)

Multi-objective Feature Selection for EEG Classification with Multi-Level Parallelism on Heterogeneous CPU-GPU Clusters (Page 1862)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, and Miguel Damas (University of Granada)
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Mapping evolutionary algorithms to a reactive, stateless architecture (Page 1870)
JJ Merelo (University of Granada) and José-Mario García Valdez (Instituto Tecnológico de Tijuana)
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Student Workshop Papers


Workshop Students (back to top)

A Comparison of Semantic-Based Initialization Methods for Genetic Programming (Page 1878)
Hammad Ahmad (Washington and Lee University) and Thomas Helmuth (Hamilton College)
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A Multi-objective Optimization Design Framework for Ensemble Generation (Page 1882)
Victor Henrique Alves Ribeiro and Gilberto Reynoso Meza (Pontifical Catholic University of Parana)
Supplemental Material:


Runtime Analysis of a Population-based Evolutionary Algorithm with Auxiliary Objectives Selected by Reinforcement Learning (Page 1886)
Denis Antipov, Arina Buzdalova, and Andrew Stankevich (ITMO University)
Supplemental Material: swksp125s2-file2.pdf


Towards a More General Many-Objective Evolutionary Optimizer using Multi-Indicator Density Estimation (Page 1890)
Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello (CINVESTAV-IPN)
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Analysis of Evolutionary Multi-Tasking as an Island Model (Page 1894)
Ryuichi Hashimoto (Osaka Prefecture University), Hisao Ishibuchi (Southern University of Science and Technology), and Naoki Masuyama and Yusuke Nojima (Osaka Prefecture University)
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Incorporation of a decision space diversity maintenance mechanism into MOEA/D for multi-modal multi-objective optimization (Page 1898)
Chenxu Hu and Hisao Ishibuchi (Southern University of Science and Technology)
Supplemental Material: swksp112s2-file2.zip


From Fitness Landscape Analysis to Designing Evolutionary Algorithms: The Case Study in Automatic Generation of Function Block Applications (Page 1902)
Vladimir Mironovich (ITMO University, JetBrains Research); Maxim Buzdalov (ITMO University); and Valeriy Vyatkin (ITMO University, Aalto University)
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Weight Vector Grid with New Archive Update Mechanism for Multi-Objective Optimization (Page 1906)
Xizi Ni (Southern University of Science and Technology); Hisao Ishibuchi (Southern University of Science and Technology, Osaka Prefecture University); and Kanzhen Wan, Ke Shang, and Chukun Zhuang (Southern University of Science and Technology)
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Improved Efficiency Of MOPSO With Adaptive Inertia Weight And Dynamic Search Space (Page 1910)
LEE PING PANG and SIN CHUN NG (The Open University of Hong Kong)
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Specialization and Elitism in Lexicase and Tournament Selection (Page 1914)
Edward R. Pantridge (MassMutual, University of Massachusetts Amherst); Thomas Helmuth (Hamilton College); Nicholas Freitag McPhee (University of Minnesota Morris); and Lee Spector (Hampshire College)
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Diploidy for Evolving Neural Networks (Page 1918)
Cara L. Reedy (Rensselaer Polytechnic Institute)
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Embedded Feature Selection Using Probabilistic Model-Based Optimization (Page 1922)
Shota Saito and Shinichi Shirakawa (Yokohama National University) and Youhei Akimoto (University of Tsukuba)
Supplemental Material:


Using A One-Class Compound Classifier To Detect In-Vehicle Network Attacks (Page 1926)
Andrew Tomlinson, Jeremy Bryans, and Siraj Ahmed Shaikh (Coventry University)
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