Posters


Ant Colony Optimization and Swarm Intelligence (back to top)

Particle Swarm Optimization based on Island Models (Page 49)
Houda Abadlia, Nadia Smairi, and Khaled Ghedira (COSMOS Laboratory, National School of Computer Sciences, University of Manouba)
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Parallel Ant Colony Optimization for Evacuation Planning (Page 51)
Manel Hajjem (LARODEC Laboratory, ISGT, University of Tunis); Hend Bouziri (LARODEC Laboratory, ESSCT, University of Tunis); El-Ghazali Talbi (INIRIA, CNRS, university of Lille); and Khaled Mellouli (LARODEC Laboratory, IHEC, University Carthage)
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Complex Systems (Artificial Life/Robotics/Evolvable Hardware/Generative and Developmental Systems) (back to top)

Ecological Modularity as a Means to Reduce Necessary Training Environments in Evolutionary Robotics (Page 53)
Collin Kovach Cappelle, Josh Bongard, and Anton Bernatskiy (The University of Vermont)
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Evolving Cost Functions For Model Predictive Control of Multi-Agent UAV Combat Swarms (Page 55)
David D. Fan and Evangelos Theodorou (Georgia Institute of Technology) and John Reeder (SPAWAR Systems Center Pacific)
Supplemental Material: pos167s1-file2.zip


Increasing the Complexity of Solutions Produced by an Evolutionary Developmental System (Page 57)
Heather Goldsby (Michigan State Univeristy), Rebecca L. Young (University of Texas Austin), Hans A. Hofmann (UniversitUy of Texas Austin), and Arend Hintze (Michigan State University)
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Automated Pattern Identification and Classification: Anomaly Detection Case Study (Page 59)
Ryan Goss and Geoff Nitschke (University of Cape Town)
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Exploring Divergence for Soft Robot Evolution (Page 61)
Daniele Gravina, Antonios Liapis, and Georgios N. Yannakakis (Institute of Digital Games, University of Malta, Malta)
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Is Social Learning More Than Parameter Tuning? (Page 63)
Jacqueline Heinerman (Vrije Universiteit Amsterdam), Jörg Stork and Margarita Alejandra Rebolledo Coy (TH Köln), Julien Hubert (Vrije Universiteit Amsterdam), Thomas Bartz-Beielstein (TH Köln), and A.E. Eiben and Evert Haasdijk (Vrije Universiteit Amsterdam)
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Benefits of Lamarckian Evolution for Morphologically Evolving Robots (Page 65)
Milan Jelisavcic and Rafael Kiesel (Vrije Universiteit Amsterdam), Kyrre Glette (University of Oslo), and Evert Haasdijk and A. E. Eiben (Vrije Universiteit Amsterdam)
Supplemental Material: pos213s1-file2.zip


Precomputation for Rapid Hypothesis Generation in Evolutionary Robotics (Page 67)
Joel Lehman (IT University of Copenhagen)
Supplemental Material: pos239s1-file2.pdf


A developmental artificial neural network model for solving multiple problems (Page 69)
Julian Francis Miller (University of York) and Dennis George Wilson (University of Toulouse)
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The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies (Page 71)
Rodrigo Moreno (Universidad Nacional de Colombia); Ceyue Liu (China University of Mining & Technology, Beijing); Andres Faina (IT University of Copenhagen); and Henry Hernandez and Jonatan Gomez (Universidad Nacional de Colombia)
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GP-Based Motion Control Design for the Double-Integrator System Subject to Velocity Constraint (Page 73)
Ollin Peñaloza-Mejía (Instituto Tecnológico de Sonora), Eddie Clemente (Instituto Tecnológico de Ensenada - TecNM), Marlen Meza-Sánchez (CONACyT-Instituto Tecnológico de Ensenada), Cynthia Beatriz Pérez (Instituto Tecnológico de Sonora), and Francisco Chávez (University of Extremadura)
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Balancing Selection Pressures, Multiple Objectives, and Neural Modularity to Coevolve Cooperative Agent Behavior (Page 75)
Alex C. Rollins and Jacob Schrum (Southwestern University)
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Evolutionary Search For Paths on Protein Energy Landscapes (Page 77)
Emmanuel Sapin, Kenneth A. De Jong, and Amarda Shehu (George Mason University)
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Embodied Evolution versus Cooperative Coevolution in Multi-Robot Optimization: a practical comparison (Page 79)
Pedro Trueba, Abraham Prieto, and Francisco Bellas (University of Coruna)
Supplemental Material: pos197s1-file2.pdf


Exploiting Environmental Differentiation to Promote Evolvability in Artificial Evolution (Page 81)
Jonata Tyska Carvalho (Center for Computational Sciences(C3)/Federal University of Rio Grande (FURG)) and Stefano Nolfi (Institute of Cognitive Sciences and Technologies (ISTC)/National Research Council(CNR))
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An Evolutionary Approach to Behavioural Morphometrics (Page 83)
Sebastian von Mammen (University of Würzburg), Melanie Däschinger (University of Augsburg), and Andreas Knote (University of Würzburg)
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Digital Entertainment Technologies and Arts (back to top)

Procedural Level Design using an Interactive Cellular Automata Genetic Algorithm (Page 85)
Chad M. Adams, Hirav P. Parekh, and Sushil J. Louis (University of Nevada Reno)
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Gamification Techniques in Collaborative Interactive Evolutionary Computation (Page 87)
Mario Garcia Valdez (Instituto Tecnologico de Tijuana), Juan-J Merelo Guervós (University of Granada), José Christian Romero (Instituto Tecnologico de Tijuana), Francisco Fernández de Vega (Universidad de Extremadura), and Alejandra Mancilla (Instituto Tecnologico de Tijuana)
Supplemental Material: pos151s1-file2.pdf


Escher-like Tiling Design Using Hierarchical Optimization (Page 89)
Asuka Hisatomi, Hitomi Koba, and Makoto Kamizono (Department of Information Science and Biomedical Engineering, Graduate School of Science and Engineering, Kagoshima University); Kazunori Mizuno (Department of Computer Science, Faculty of Engineering, Takushoku University); and Satoshi Ono (Department of Information Science and Biomedical Engineering, Graduate School of Science and Engineering, Kagoshima University)
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Speeding up Genetic Algorithm-based Game Balancing using Fitness Predictors (Page 91)
Mihail Morosan and Riccardo Poli (University of Essex)
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A Deep Learning / Neuroevolution Hybrid for Visual Control (Page 93)
Andreas Precht Poulsen, Mark Thorhauge, Mikkel Hvilshøj Funch, and Sebastian Risi (IT University of Copenhagen)
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Voxelbuild: A Minecraft-Inspired Domain for Experiments in Evolutionary Creativity (Page 95)
Lisa B. Soros, Justin K. Pugh, and Kenneth O. Stanley (University of Central Florida)
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Comparing multimodal optimization and illumination (Page 97)
Vassilis Vassiliades, Konstantinos Chatzilygeroudis, and Jean-Baptiste Mouret (Inria)
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Evolutionary Combinatorial Optimization and Metaheuristics (back to top)

A New Evolutionary Approach Using Pre-Post Testing to Trigger Exploration and Exploitation in DOPs (Page 99)
Hajer Ben-Romdhane (LARODEC Laboratory, ISG of Tunis); Enrique Alba (University of Malaga); and Saoussen Krichen (LARODEC Laboratory, ISG of Tunis)
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How to Get More from Your Model: The Role of Constructive Selection in Estimation of Distribution Algorithms (Page 101)
Jamie R. Caldwell and Richard A. Watson (University of Southampton)
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A memetic algorithm for computing multicriteria shortest paths in stochastic multimodal networks (Page 103)
Omar Dib (IRT SystemX) and Alexandre Caminada, Marie-Ange Manier, and Laurent Moalic (Univ. Bourgogne Franche-Comté, UTBM, OPERA)
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A Novel Reduction Algorithm for the Generalized Traveling Salesman Problem (Page 105)
Mehdi El Krari, Belaïd Ahiod, and Bouazza El Benani (Mohammed V University in Rabat)
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Multi-objectiveness in the Single-objective Traveling Thief Problem (Page 107)
Mohamed El Yafrani (Mohammed V University in Rabat); Shelvin Chand (University of New South Wales, Canberra, Australia); Markus Wagner and Aneta Neumann (The University of Adelaide); and Belaïd Ahiod (Mohammed V University in Rabat)
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Parameter-less Population Pyramid with Feedback (Page 109)
Marcin Michal Komarnicki (Wroclaw University of Science and Technology) and Michal Witold Przewozniczek (Wroclaw University of Science and Technology)
Supplemental Material: pos208s1-file2.tar


A Model-Based Genetic Algorithm Framework for Constrained Optimisation Problems (Page 111)
Mark Lawrenson, Tommaso Urli, and Philip Kilby (CSIRO Data61 & the Australian National University)
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The Menu Planning Problem: a MultiObjective Approach for the Brazilian Schools Context (Page 113)
Rafaela Priscila Cruz Moreira (Centro Federal de Educação Tecnológica de Minas Gerais), Elizabeth Fialho Wanner (Aston University), and Flávio Vinicius Cruzeiro Martins and João Fernando Machry Sarubbi (Centro Federal de Educação Tecnológica de Minas Gerais)
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Modeling Optimization Algorithm Runtime Behavior and its Applications (Page 115)
Qi Qi (University of Science and Technology of China (USTC)); Thomas Weise (Institute of Applied Optimization, Hefei University); and Bin Li (University of Science and Technology of China (USTC))
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Efficient Quantitative Heuristics for Graph Clustering (Page 117)
Rafael de Santiago (University of Vale do Itajaí) and Luís Lamb (Federal University of Rio Grande do Sul)
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Clustering of Hyper-heuristic Selections using the Smith-Waterman Algorithm for Offline Learning (Page 119)
William Brian Yates and Edward Chrisotopher Keedwell (University of Exeter)
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A fast heuristic algorithm for the critical node problem (Page 121)
Yangming Zhou and Jin-Kao Hao (Université d'Angers)
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Evolutionary Machine Learning (back to top)

Evidential Learning Classifier System (Page 123)
Chedi Abdelkarim, Lilia Rejeb, Lamjed Ben Said, and Maha Elarbi (Université de Tunis, Institut Supérieur de Gestion de Tunis)
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An Upgraded Bat Algorithm for Tuning Extreme Learning Machines for Data Classification (Page 125)
Adis Alihodzic (University of Sarajevo), Eva Tuba (University of Belgrade), and Milan Tuba (John Naisbitt University)
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Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing (Page 127)
Travis Desell (University of North Dakota)
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Revisiting Interval Arithmetic for Regression Problems in Genetic Programming (Page 129)
Grant Dick (University of Otago)
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Evolutionary Learning of Meta-Rules for Text Classification (Page 131)
Juan Carlos Gomez (University of Guanajuato Campus Irapuato-Salamanca) and Stijn Hoskens and Marie-Francine Moens (KU Leuven)
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Autonomous Intersection Driving with Neuro-Evolution (Page 133)
Geoff Nitschke and Aashiq Parker (UCT)
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Automated State Feature Learning for Actor-Critic Reinforcement Learning through NEAT (Page 135)
Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, and Mengjie Zhang (Victoria University of Wellington)
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cCube: A Cloud Microservices Architecture for Evolutionary Machine Learning Classification (Page 137)
Pasquale Salza (University of Salerno), Erik Hemberg (Massachusetts Institute of Technology), Filomena Ferrucci (University of Salerno), and Una-May O'Reilly (Massachusetts Institute of Technology)
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The Role of Conditional Independence in the Evolution of Intelligent Systems (Page 139)
Jory Schossau (Michigan State University), Larissa Albantakis (University of Wisconsin–Madison), and Arend Hintze (Michigan State University)
Supplemental Material: pos217s1-file2.pdf


Low-power FSM synthesis using a fuzzy c-mean clustering-based decomposition (Page 141)
Yanyun Tao (Soochow university), Yuzhen Zhang (The first affiliated Hospital of Soochow University), and Qinyu Wang (Jiangnan university)
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Stability Selection using a Genetic Algorithm and Logistic Linear Regression on Healthcare Records (Page 143)
Ales Zamuda (University of Maribor), Christine Zarges (Aberystwyth University), and Gregor Stiglic and Goran Hrovat (University of Maribor)
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Linear Combinations of Features as Leaf Nodes in Symbolic Regression (Page 145)
Jan Žegklitz (Czech Technical University in Prague, Czech Institute of Informatics, Robotics, and Cybernetics) and Petr Pošík (Czech Technical University in Prague, Faculty of Electrical Engineering)
Supplemental Material: pos223s1-file2.zip



Evolutionary Multiobjective Optimization (back to top)

Towards an Epigenetics-Inspired Control System for Power Dispatch Problem (Page 147)
Daniel Joel Couvertier and Kalyanmoy Deb (Michigan State University) and Erik Goodman (Michigan State Unversity)
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Set-SMAA for Finding Preferable Multi-Objective Solutions (Page 149)
Rotem Dror (Technion -- Israel Institute of Technology), Amir Kantor and Michael Masin (IBM Research), and Segev Shlomov (Technion -- Israel Institute of Technology)
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A Multi-Objective Continuous Genetic Algorithm for Financial Portfolio Optimization Problem (Page 151)
Yacine Kessaci (Worldline)
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Hybridizing Non-dominated Sorting Algorithms: Divide-and-Conquer Meets Best Order Sort (Page 153)
Margarita Markina and Maxim Buzdalov (ITMO University)
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The MOEA/D Algorithm with Gaussian Neighbourhoods for the Multiobjective Travelling Salesman Problem (Page 155)
Krzysztof Michalak (Wrocław University of Economics)
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Multiple Reference Points MOEA/D for Feature Selection (Page 157)
Bach Hoai Nguyen and Bing Xue (Victoria University of Wellington), Hisao Ishibuchi (Osaka Prefecture University), and Peter Andreae and Mengjie Zhang (Victoria University of Wellington)
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Solving electoral zone design problems with NSGA-II.\\Application to redistricting in Mexico (Page 159)
Antonin Ponsich, Eric Alfredo Rincón García, and Roman Anselmo Mora Gutiérrez (Universidad Autónoma Metropolitana – Azcapotzalco) and Sergio Gerardo de-los-Cobos Silva, Miguel Angel Gutiérrez Andrade, and Pedro Lara Velázquez (Universidad Autónoma Metropolitana – Iztapalapa)
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Distributed NSGA-II with Migration using Compensation on Many-core Processors for Improving Performance and Accuracy (Page 161)
Yuji Sato (Hosei University), Mikiko Sato (Tokai University), and Minami Miyakawa (Hosei University)
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An Improved MOEA/D Utilizing Variation Angles for Multi-Objective Optimization (Page 163)
Hiroyuki Sato (The University of Electro-Communications), Minami Miyakawa (Hosei University), and Keiki Takadama (The University of Electro-Communications)
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Evolutionary Numerical Optimization (back to top)

On the Mutual Information as a Fitness Landscape Measure (Page 165)
Rebeka Coric (University of Osijek); Stjepan Picek (KU Leuven); Domagoj Jakobovic (University of Zagreb, Faculty of Electrical Engineering and Computing); and Carlos A. Coello Coello (CINVESTAV-IPN, Department of Computer Science)
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A Two-Stage Coevolution Approach for Constrained Optimization (Page 167)
Jing-Yu Ji and Wei-Jie Yu (Sun Yat-sen University) and Jun Zhang (South China University of Technology)
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Interpolated Continuous Optimisation Problems with Tunable Landscape Features (Page 169)
Benjamin Lacroix (Robert Gordon University), Lee Ashley Christie (University of Sirtling), and John Alexander Wyper McCall (Robert Gordon University)
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A New Grouping Strategy-Based Hybrid Algorithm for Large Scale Global Optimization Problems (Page 171)
Haiyan Liu, Yuping Wang, and Liwen Liu (Xidian University, Xi'an); Xiao-Zhi Gao (Machine Vision and Pattern Recognition Laboratory，Lappeenranta University of Technology, Lappeenranta); and Yiu-ming Cheung (Department of Computer Science, Hong Kong Baptist University)
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Analysis of Scaling for Fitness Landscape Learning Evolutionary Computation based on CMA-ES (Page 173)
Naoki Mori, Kento Tsukada, Taku Hasegawa, and Keinosuke Matsumoto (Osaka Prefecture University)
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Non-parametric model of the space of continuous black-box optimization problems (Page 175)
Mario Andres Munoz Acosta and Kate Amanda Smith-Miles (Monash University)
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Ordinal versus Metric Gaussian Process Regression in Surrogate Modelling for CMA Evolution Strategy (Page 177)
Zbynek Pitra (Czech Technical University), Lukas Bajer and Jakub Repicky (Charles University), and Martin Holena (Czech Academy of Sciences)
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Adaptiveness of CMA based Samplers (Page 179)
Nixon Ronoh and Edna Milgo (Vrije Universiteit Brussel), Peter Waiganjo (University of Nairobi), and Bernard Manderick (Vrije Universiteit Brussel)
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A Computationally Efficient Gravitational Search Algorithm (Page 181)
Alex Rothwell and Aldeida Aleti (Monash University)
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Modified Box Constraint Handling for the Covariance Matrix Adaptation Evolution Strategy (Page 183)
Naoki Sakamoto and Youhei Akimoto (Shinshu University)
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Genetic Algorithms (back to top)

On the Exploitation of Search History and Accumulative Sampling in Robust Optimisation (Page 185)
Khulood Alyahya, Kevin Doherty, Jonathan Fieldsend, and Ozgur Akman (University of Exeter)
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Automated Case Generation Using a Genetic Algorithm (Page 187)
Hayley Borck and Mark Boddy (Adventium Labs)
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A Two-Phase Genetic Algorithm for Image Registration (Page 189)
Sarit Chicotay, Eli (Omid) David, and Nathan S. Netanyahu (Bar-Ilan University)
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A Computationally Fast Multimodal Optimization with Push Enabled Genetic Algorithm (Page 191)
Yashesh Dhebar and Kalyanmoy Deb (Michigan State University)
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A Hybrid Genetic Algorithm for Deploying RSUs in VANETs Based on Inter-Contact Time (Page 193)
Marcelo Fonseca Faraj and João Fernando Machry Sarubbi (Centro Federal de Educação Tecnológica de Minas Gerais), Cristiano Maciel da Silva (Universidade Federal de São João Del Rei), and Flávio Vinícius Cruzeiro Martins (Centro Federal de Educação Tecnológica de Minas Gerais)
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A Genetic Algorithm with randomly shifted Gray codes and local optimizations based on quadratic approximations of the fitness (Page 195)
Alexandre Mayer (University of Namur)
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Overlapping community detection in social networks using a quantum-based genetic algorithm (Page 197)
Alireza Saleh Sedgh Pour (Iran University of Science and Technology) and Amin Nikanjam (Khajeh Nasir Toosi University of Technology)
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Introducing the Cumulation to the Population Based Incremental Learning and the Compact GA to Relax Genetic Drift (Page 199)
Keigo Tanaka and Youhei Akimoto (Shinshu University)
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General Evolutionary Computation and Hybrids (back to top)

Synergies Between Evolutionary Computation and Multiagent Reinforcement Learning: the Benefits of Exchanging Solutions (Page 201)
Ana Lucia C. Bazzan (Universidade Federal do Rio Grande do Sul, Porto Alegre RS - Brasil)
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The Baldwin Effect on a Memetic Differential Evolution for Constrained Numerical Optimization Problems (Page 203)
Saul Dominguez-Isidro and Efren Mezura-Montes (University of Veracruz)
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Randomized Parameter Settings for a Pool-based Particle Swarm Optimization Algorithm (Page 205)
Amaury Hernandez-Aguila and Mario Garcia-Valdez (Tijuana Institute of Technology), Juan Julian Merelo-Guervos (University of Granada), and Oscar Castillo (Tijuana Institute of Technology)
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A multi-objective approach for the (α,β)-k Feature Set Problem using Memetic Algorithms (Page 207)
Francia Jimenez, Claudio Sanhueza, Regina Berretta, and Pablo Moscato (The University of Newcastle)
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Load Balance Aware Distributed Differential Evolution for Computationally Expensive Optimization Problems (Page 209)
Xiao-Fang Liu, Zhi-Hui Zhan, and Jun Zhang (South China University of Technology); Ning Ma (Beihang University); and Jing-Hui Zhong (South China University of Technology)
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Design choices for adapting bio-hybrid systems with evolutionary computation (Page 211)
Pedro Mariano (Universidade de Lisboa), Ziad Salem (Karl-Franzens-University Graz), Rob Mills (Universidade de Lisboa), Payam Zahadat (Karl-Franzens-University Graz), Luís Correia (Universidade de Lisboa), and Thomas Schmickl (Karl-Franzens-University Graz)
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Neural Network Topology and Weight Optimization through Neuro Differential Evolution (Page 213)
Karl J. Mason, Jim Duggan, and Enda Howley (National University of Ireland Galway)
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A Parallel hybrid GA-PSO Approach with Dynamic Rule Based Parameter Setting (Page 215)
Abtin Nourmohammadzadeh and Sven Hartmann (Claushtal University of Technology) and Hui Ma (Victoria University of Wellington)
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Indicator-Based Multi-Objective Genetic Programming for Workflow Scheduling Problem (Page 217)
Qin-zhe Xiao, Jinghui Zhong, Wei-neng Chen, Zhi-Hui Zhan, and Jun Zhang (South China University of Technology)
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Genetic Programming (back to top)

Evolving Texture Image Descriptors Using A Multitree Genetic Programming Representation (Page 219)
Harith Al-Sahaf, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
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Late-Acceptance and Step-Counting Hill-Climbing GP for Anomaly Detection (Page 221)
Van Loi Cao, Miguel Nicolau, and James McDermott (University College Dublin)
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New Geometric Semantic Operators in Genetic Programming: Perpendicular Crossover and Random Segment Mutation (Page 223)
Qi Chen, Mengjie Zhang, and Bing Xue (Victoria University of Wellington)
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Semantic-based Local Search in Multiobjective Genetic Programming (Page 225)
Tiantian Dou and Peter I. Rockett (University of Sheffield)
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Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems (Page 227)
Edgar Galvan-Lopez (National University of Ireland Maynooth), Lucia Vazquez-Mendoza (Trinity College Dublin), Marc Schoenauer (INRIA Paris Saclay), and Leonardo Trujillo-Reyes (Tecnologico de Tijuana)
Supplemental Material: pos135s1-file2.pdf


Genetic Programming with Multi-Layered Population Structure (Page 229)
Taku Hasegawa, Naoki Mori, and Keinosuke Matsumoto (Osaka Prefecture University)
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An Empirical Study on the Parametrization of Cartesian Genetic Programming (Page 231)
Paul Kaufmann (Paderborn University) and Roman Kalkreuth (TU Dortmund)
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Evolutionary Linear Discriminant Analysis for Multiclass Classification Problems (Page 233)
Michael Francis Korns (Korns Associates)
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Long-Term Evolution of Genetic Programming Populations (Page 235)
w. langdon (ucl)
Supplemental Material: pos153s1-file2.gz


Improving k-means Clustering with Genetic Programming for Feature Construction (Page 237)
Andrew Lensen, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
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Learning figure-ground image segmentors by genetic programming (Page 239)
Yuyu Liang, Mengjie Zhang, and Will N. Browne (Victoria University of Wellington)
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Late-acceptance hill-climbing with a grammatical program representation (Page 241)
James McDermott and Miguel Nicolau (University College Dublin)
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Visualizing genetic programming ancestries using graph databases (Page 245)
Nicholas Freitag McPhee (University of Minnesota, Morris); Maggie M. Casale (Design Center, Inc.); Mitchell Finzel (University of Minnesota, Morris); Thomas Helmuth (Washington and Lee University); and Lee Spector (Hampshire College)
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Using algorithm configuration tools to optimize genetic programming parameters: A case study (Page 243)
Nicholas Freitag McPhee (University of Minnesota, Morris); Thomas Helmuth (Washington and Lee University); and Lee Spector (Hampshire College)
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Hierarchical Grammatical Evolution (Page 249)
Eric Medvet (DIA, University of Trieste, Italy)
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An Effective Diversity Promotion Mechanism in Grammatical Evolution (Page 247)
Eric Medvet and Alberto Bartoli (DIA, University of Trieste) and Giovanni Squillero (Politecnico di Torino)
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Evolving S-boxes Based on Cellular Automata with Genetic Programming (Page 251)
Stjepan Picek (KU Leuven), Luca Mariot (Universita degli Studi di Milano-Bicocca), Domagoj Jakobovic (Faculty of Electrical Engineering and Computing), and Alberto Leporati (Universita degli Studi di Milano-Bicocca)
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Feature Selection Using Geometric Semantic Genetic Programming (Page 253)
Gustavo Henrique Rosa (Sao Paulo State University), Luciene Patrici Papa (Sao Paulo Southwestern College), and Joao Paulo Papa (Sao Paulo State University)
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Multitask Evolution with Cartesian Genetic Programming (Page 255)
Eric O. Scott and Kenneth A. De Jong (George Mason University)
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PSXO - Population-Wide Semantic Crossover (Page 257)
Leonardo Vanneschi and Mauro Castelli (NOVA IMS, Universidade Nova de Lisboa); Luca Manzoni (DISCo, University of Milano-Bicocca); Sara Silva (University of Lisbon); Krzysztof Krawiec (Poznan University of Technology); Alberto Moraglio (University of Exeter); and Ivo Gonçalves (NOVA IMS, Universidade Nova de Lisboa)
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Real World Applications (back to top)

Multiobjective Evolutionary Algorithms for Operational Planning Problems in Open-Pit Mining (Page 259)
Rafael Frederico Alexandre (Department of Exact and Applied Sciences, Universidade Federal de Ouro Preto) and Felipe Campelo and João Antônio Vasconcelos (Department of Electrical Engineering, Universidade Federal de Minas Gerais)
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Genetic Algorithms Approaches for the Production Planning in the Glass Container Industry. (Page 261)
Flaviana Moreira de Souza Amorim and Márcio da Silva Arantes (University of São Paulo), Pierre Eric Frisch (FRISCH VERRIER), Bernardo Almada-lobo (Universidade do Porto), and Claudio Fabiano Motta Toledo and Jesimar da Silva Arantes (University of São Paulo)
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Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trials (Page 263)
Gilyana Borlikova (UCD), Louis Smith and Michael Phillips (ICON plc), and Michael O'Neill (UCD)
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Applying Particle Swarm Optimization to the Motion-Cueing-Algorithm Tuning Problem (Page 265)
Sergio Casas, Cristina Portalés, Inmaculada Coma, and Marcos Fernández (IRTIC, University of Valencia)
Supplemental Material: pos172s1-file2.zip


Interactive evolutionary modelling of complex food systems: freeze-drying of lactic acid bacteria (Page 267)
Thomas Chabin, Marc Barnabé, Nadia Boukhelifa, Fernanda Fonseca, Alberto Tonda, Hélène Velly, Nathalie Perrot, and Evelyne Lutton (INRA)
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ZCSR for Targeting the Optimal Impedance in Digital Radio Frequency Matching Box (Page 269)
Liang-Yu Chen (National Chiao Tung University/Institute of Computer Science and Engineering); Ya-Liang Yang (National Chiao Tung University/Department of Computer Science); and Tzu-Chien Hsiao (National Chiao Tung University/Institute of Biomedical Engineering, Department of Computer Science)
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A Comparison of Fitness Functions in a Genetic Algorithm for Acoustic-Articulatory Parameter Inversion of Vowels (Page 271)
Jared Drayton (Plymouth Univeristy) and Eduardo Miranda and Alexis Kirke (Plymouth University)
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Developing Proactive Defenses for Computer Networks with Coevolutionary Genetic Algorithms (Page 273)
Anthony Edward Erb Lugo, Dennis Alberto Garcia, Erik Anders Pieter Hemberg, and Una-May O'Reilly (Massachusetts Institute of Technology)
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Toward a Smart Mobility System: Integrating Electric Vehicles Within Smart Cities (Page 275)
Ezzeddine Fatnassi (Institut Supérieur de Gestion de Tunis Université de Tunis), Olfa Harrabi (Institut Supérieur de Gestion de Tunis), and Jouhaina Chaouachi (IHEC Carthage)
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Scheduling a Continues Galvanization Line using Genetic Algorithm (Page 277)
Hila Fox, Shimon Ben-Alul, and Miri Weiss Cohen (Braude College of Engineering)
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Community detection in power grids by an evolutionary method (Page 279)
Manuel Guerrero, Consolación Gil, Francisco G. Montoya, Alfredo Alcayde, and Raúl Baños (University of Almería)
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A Hybrid Genetic Algorithm for Climate Input Features and Neural Network Parameters Selection (Page 281)
Ali Haidar and Brijesh Verma (Central Queensland University)
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Automatically Difficulty Grading Method of “Instruction System” Question Bank based on Knowledge Tree (Page 283)
Chengcheng Liu, Jin Zhang, Yang Zhou, Shunjian Tian, Xiaoli Gong, and Xin Wei (Nankai University)
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Fast 3D Path Planning based on Heuristic-aided Differential Evolution (Page 285)
Ning Ma (Beihang University), Xue Yu (Sun Yat-sen University), and Wei-Neng Chen and Jun Zhang (South China University of Technology)
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On Evolutionary Computation for Moving Target Defense in Software Defined Networks (Page 287)
Adetokunbo Makanju (KDDI Research), Nur Zincir-Heywood (Dalhousie University), and Shinsaku Kiyomoto (KDDI Research)
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Reducing systemic risk in multiplex networks using evolutionary optimization (Page 289)
Krzysztof Michalak (Wroclaw University of Economics)
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Single and Multi-Objective Genetic Algorithms for the Container Loading Problem (Page 291)
Gara Miranda (Universidad de La Laguna), Algirdas Lančinskas (Vilnius University), and Yanira González (Universidad de La Laguna)
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Computing a New Central Terminal for ECG recording using combined Genetic Algorithm and linear regression from real patient data (Page 293)
Hossein Moeinzadeh and Gaetano D. Gargiulo (The MARCS Institute, Western Sydney University); Paolo Bifulco and Mario Cesarelli (Department of Electrical Engineering and Information Technology (DIETI), “Federico II” The University of Naples); Alistair L. McEwan (School of EIE, University of Sydney); Aiden O’Loughlin (School of Medicine, Western Sydney University); Ibrahim M. Shugman (Cardiology Department, Campbelltown Hospital); Jonathan C. Tapson (The MARCS Institute, Western Sydney University); and Aravinda Thiagalingam (School of Medicine, The University of Sydney)
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Massive Asynchronous Master-Worker EA for a Nuclear Reactor Optimization : a Fitness Landscape Perspective (Page 295)
Mathieu Muniglia (CEA), Sébastien Verel (LISIC-ULCO), and Jean-Charles Le Pallec and Jean-Michel Do (CEA)
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Using Desirability Functions for Many-Objective Optimization of a Hybrid Car Controller (Page 297)
Yuka Ogino and Ryoya Iida (Tokyo Institute of Technology) and Tobias Rodemann (Honda Research Institute Europe)
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Evolutionary Computation at work for the Optimization of Link State Routing Protocols (Page 299)
Vitor Pereira, Pedro Sousa, and Miguel Rocha (Universidade do Minho)
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Application of a memetic algorithm to the fleet size and mix vehicle routing problem with electric modular vehicles (Page 301)
Dhekra Rezgui (Higher Institute of Management of Tunis), Jouhaina Chaouachi-Siala (Institut des Hautes Etudes commerciales de Carthage), Wassila Aggoune-Mtalaa (Luxembourg Institute of Science and Technology), and Hend Bouziri (ESSEC Tunis)
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A Genetic Algorithm for Hybrid VANETs with Synchronous Communication (Page 303)
João Fernando Machry Sarubbi and Flávio Vinícius Cruzeiro Martins (Centro Federal de Educação Tecnológica de Minas Gerais), Cristiano Maciel da Silva (University Federal de São João del Rey), and Elizabeth Fialho Wanner (Aston University)
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Short Versus Long-term Urban Planning Using Multi-objective Optimization (Page 305)
Jonas Schwaab (ETH Zürich); Kalyanmoy Deb and Erik Goodman (Michigan State University); Sven Lautenbach (Institute of Geodesy and Geoinformation- IGG, University Bonn); Maarten van Strien (ETH Zürich); and Adrienne Grêt-Regamey (ETH Zurich)
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A Fast Hybrid Evolutionary Algorithm with Inexact Fitness Evaluation for Solving Two-Stage Stochastic Scheduling Problems (Page 307)
Thomas Siwczyk and Sebastian Engell (TU Dortmund)
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Evolving sharing strategies in cybersecurity information exchange framework (Page 309)
Iman Vakilinia, Sushil Louis, and Shamik Sengupta (University of Nevada, Reno)
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Search-Based Software Engineering (back to top)

Software Change Prediction using Voting Particle Swarm Optimization based Ensemble Classifier (Page 311)
Ruchika Malhotra and Megha Khanna (Delhi Technological University)
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Theory (back to top)

Analyzing Search Heuristics with Differential Equations (Page 313)
Tobias Friedrich, Timo Kötzing, and Anna Melnichenko (Hasso-Plattner-Institut)
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Simple Problems: The Simplicial Gluing Structure of Pareto Sets and Pareto Fronts (Page 315)
Naoki Hamada (Fujitsu Laboratories Ltd.)
Supplemental Material: pos250s1-file2.pdf


An Initial Error Analysis for Evolutionary Algorithms (Page 317)
Jun He (University of Wales, Aberystwyth); Yuren Zhou (Sun Yat-sen University); and Guangming Lin (Shenzhen Institute of Information Technology)
Supplemental Material: