GECCO 2020 | Accepted Papers

The review process is now over: 149 papers have been accepted as full papers. They will be published in the Proceedings (and hence in the Digital Library) and presented during one of the sessions of the conference.
Search the list below by typing text in the column headers.
See also the list of accepted posters.
The Call for Papers and the Papers Submission Instructions are still available for your information.

Accepted Papers

Title	Authors
New Search Operators for Node-Depth Based Encoding	Gustavo Post Sabin (Universidade Federal de Mato Grosso, Universidade Federal de Goiás) and Telma Woerle de Lima and Anderson da Silva Soares (Universidade Federal de Goiás)
Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks	Trung Nguyen, Will Neil Browne, and Mengjie Zhang (Victoria University of Wellington)
On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems	Michal Witold Przewozniczek, Bartosz Frej, and Marcin Michal Komarnicki (Wroclaw University of Science and Technology)
Multi-Objective Optimal Distribution of Materials in Hybrid Components	Thomas Gossuin (CRIG), Didier Garray (Sirris), and Vincent Kelner (HELMo)
Automatic Decomposition of Mixed Integer Programs for Lagrangian Relaxation Using a Multiobjective Approach	Jake Matt Weiner (RMIT University), Andreas Ernst (Monash University), and Xiaodong Li and Yuan Sun (RMIT University)
Evolutionary Optimization of Deep Learning Activation Functions	Garrett Bingham (The University of Texas at Austin, Cognizant Technology Solutions); William Macke (The University of Texas at Austin); and Risto Miikkulainen (The University of Texas at Austin, Cognizant Technology Solutions)
Transfer Learning for Gaussian Process Assisted Evolutionary Bi-objective Optimization for Objectives with Different Evaluation Times	Xilu Wang and Yaochu Jin (University of Surrey) and Sebastian Schmitt and Markus Olhofer (Honda Research Institute Europe GmbH)
Computation of the improvement directions of the Pareto front and its application to MOEAs	Salvador Botello-Aceves and Arturo Hernandez-Aguirre (Center for Research in Mathematics) and S. Ivvan Valdez (Centro de Investigación en Ciencias de Información Geospacial)
Fixed-Target Runtime Analysis	Maxim Buzdalov (ITMO University); Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)); Carola Doerr (CNRS, Sorbonne University); and Dmitry Vinokurov (ITMO University)
Multi-Tree Genetic Programming for Feature Construction-Based Domain Adaptation in Symbolic Regression with Incomplete Data	Baligh Al-Helali (Victoria University of Wellington) and Qi Chen, Bing Xue, and Mengjie Zhang (Victoria Unviiversity of Wellington)
Enhancing Search-Based Product Line Design with Crossover Operators	Diego Fernandes da Silva, Luiz Fernando Okada, and Thelma Elita Colanzi (Universidade Estadual de Maringá) and Wesley K. G. Assunçao (Federal University of Technology - Paraná)
Safe Crossover of Neural Networks Through Neuron Alignment	Thomas Uriot and Dario Izzo (European Space Agency)
Modeling Wildfires Using Evolutionary Cellular Automata	Maxfield E. Green, Todd F. DeLuca, and Karl Kaiser (University of Vermont)
Distributed Random Walks for Fitness Landscape Analysis	Ryan Dieter Lang and Andries Petrus Engelbrecht (Stellenbosch University)
Just-in-Time Batch Scheduling of Items Subject to Capacity Constraints	Sergey Polyakovskiy and Dhananjay Thiruvady (Deakin University) and Rym M'Hallah (Kuwait University)
Simultaneously Searching and Solving Multiple Avoidable Collisions for Testing Autonomous Driving Systems	Alessandro Calò (Technical University of Munich), Paolo Arcaini (National Institute of Informatics), Shaukat Ali (Simula Research Laboratory), Florian Hauer (Technical University of Munich), and Fuyuki Ishikawa (National Institute of Informatics)
Discovering Representations for Black-box Optimization	Adam Gaier (Hochschule Bonn-Rhein-Sieg, Inria); Alexander Asteroth (Hochschule Bonn-Rhein-Sieg); and Jean-Baptiste Mouret (Inria, University of Lorraine)
One property to rule them all? On the limits of trade-offs for S-boxes	Marko Djurasevic and Domagoj Jakobovic (University of Zagreb) and Stjepan Picek (Delft University of Technology)
Constructing Efficient Multigrid Solvers with Genetic Programming	Jonas Schmitt, Sebastian Kuckuk, and Harald Köstler (University of Erlangen-Nuremberg)
Surrogate-assisted Multi-objective Combinatorial Optimization based on Decomposition and Walsh Basis	Geoffrey Pruvost and Bilel Derbel (University of Lille - CNRS - CRIStAL, Inria Lille - Nord Europe); Arnaud Liefooghe (JFLI - CNRS - University of Tokyo); Sébastien Verel (Université du Littoral Côte d'Opale); and Qingfu Zhang (City University of Hong Kong)
Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation	Jamal Toutouh (Massachusetts Inst. of Technology, University of Málaga) and Erik Hemberg and Una-May O'Reily (Massachusetts Inst. of Technology)
Towards Sustainable Forest Management Strategies with MOEAs	Philipp Back, Antti Suominen, and Pekka Malo (Aalto University School of Business); Olli Tahvonen (University of Helsinki); and Julian Blank and Kalyanmoy Deb (Michigan State University)
Novelty Search for Automatic Bug Repair	Omar Villanueva, Leonardo Trujillo, and Daniel Hernández (Tecnológico Nacional de México/Instituto Tecnologico de Tijuana)
From Understanding Genetic Drift to a Smart-Restart Parameter-less Compact Genetic Algorithm	Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) and Weijie Zheng (Southern University of Science and Technology)
CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation	Jacob Schrum (Southwestern University); Vanessa Volz (modl.ai); and Sebastian Risi (modl.ai, IT University of Copenhagen)
The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics	Jakob Bossek (The University of Adelaide), Katrin Casel (Hasso Plattner Institute), Pascal Kerschke (University of Münster), and Frank Neumann (The University of Adelaide)
Sensitivity Analysis in Constrained Evolutionary Optimization	Julian Schulte and Volker Nissen (Technische Universität Ilmenau)
Semantically-Oriented Mutation Operator in Cartesian Genetic Programming for Evolutionary Circuit Design	David Hodan, Vojtech Mrazek, and Zdenek Vasicek (Brno University of Technology)
Hybrid Genetic Algorithm for Ridesharing with Timing Constraints: Efficiency analysis with Real-World Data	Nirav Patel, Narayanaswamy N. S., and Alok Joshi (Indian Institute of Technology, Madras)
Dynamic Bi-Objective Routing of Multiple Vehicles	Jakob Bossek (The University of Adelaide) and Christian Grimme and Heike Trautmann (University of Münster)
Effects of Dominance Resistant Solutions on the Performance of Evolutionary Multi-Objective and Many-Objective Algorithms	Hisao Ishibuchi (Southern University of Science and Technology) and Takashi Matsumoto, Naoki Masuyama, and Yusuke Nojima (Osaka Prefecture University)
An Approach to Assess Swarm Intelligence Algorithms Based on Complex Networks	Clodomir Joaquim Santana, Edward Keedwell, and Ronaldo Menezes (University of Exeter)
Advanced Statistical Analysis of Empirical Performance Scaling	Yasha Pushak (University of British Columbia) and Holger H. Hoos (Leiden University)
Surrogate Assisted Evolutionary Algorithm for Medium Scale Multi-Objective Optimisation Problems	Xiaoran Ruan (University of Electronic Science and Technology of China), Ke Li (University of Exeter), and Bilel Derbel and Arnaud Liefooghe (University of Lille)
Seeding Strategies for Multi-Objective Test Case Selection: An Application on Simulation-based testing	Aitor Arrieta, Joseba Andoni Agirre, and Goiuria Sagardui (Mondragon University)
GeneCAI: Genetic Evolution for Acquiring Compact AI	Mojan Javaheripi, Mohammad Samragh, Tara Javidi, and Farinaz Koushanfar (UC San Diego)
Genetic programming approaches to learning fair classifiers	William La Cava and Jason H. Moore (University of Pennsylvania)
Surrogate-Assisted Asynchronous Multiobjective Algorithm for Nuclear Power Plant Operations	Valentin Drouet (Commissariat à l'Énergie Atomique), Sébastien Verel (Université du Littoral Côte d'Opale), and Jean-Michel Do (Commissariat à l'Énergie Atomique)
Specific Single- and Multi-Objective Evolutionary Algorithms for the Chance-Constrained Knapsack Problem	Yue Xie, Aneta Neumann, and Frank Neumann (The University of Adelaide)
Expected Improvement versus Predicted Value in Surrogate-Based Optimization	Frederik Rehbach, Martin Zaefferer, Boris Naujoks, and Thomas Bartz-Beielstein (TH Köln)
If Unsure, Shuffle: Deductive Sort is ϴ(MN^3), but O(MN^2) in Expectation over Input Permutations	Sumit Mishra (Indian Institute of Information Technology Guwahati) and Maxim Buzdalov (ITMO University)
Multiobjective Tree-structured Parzen Estimator for Computationally Expensive Optimization Problems	Yoshihiko Ozaki (AI Research Center, AIST; GREE, Inc.) and Yuki Tanigaki, Shuhei Watanabe, and Masaki Onishi (AI Research Center, AIST)
Unlabeled Multi-Target Regression with Genetic Programming	Uriel López and Leonardo Trujillo (Tecnológico Nacional de México/IT de Tijuana), Sara Silva (University of Lisbon), Pierrick Legrand (Université de Bordeaux), and Leonardo Vanneschi (Universidade Nova de Lisboa)
A Surrogate-Assisted Metaheuristic for Bilevel Optimization	Jesus-Adolfo Mejia-de-Dios and Efren Mezura-Montes (University of Veracruz, Artificial Intelligence Research Center)
Improving Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation	AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, and Travis Desell (Rochester Institute of Technology)
Using Implicit Multi-Objectives Properties to Mitigate Against Forgetfulness in Coevolutionary Algorithms	Adefunke Akinola and Mark Wineberg (University of Guelph)
Evolution of Distributed Neural Controllers for Voxel-based Soft Robots	Eric Medvet, Alberto Bartoli, Andrea De Lorenzo, and Giulio Fidel (DIA, University of Trieste, Italy)
Designing Parallelism in Surrogate-assisted Multiobjective Optimization based on Decomposition	Nicolas Berveglieri and Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe); Arnaud Liefooghe (JFLI - CNRS - University of Tokyo); Hernan Aguirre (Shinshu University); Qingfu Zhang (City University of Hong Kong); and Kiyoshi Tanaka (Shinshu University)
Solving the Single Row Facility Layout Problem by Differential Evolution	Pavel Krömer, Jan Platos, and Vaclav Snasel (VSB-TU Ostrava)
Comparative Mixing for DSMGA-II	Marcin Michal Komarnicki, Michal Witold Przewozniczek, and Tomasz Maciej Durda (Wroclaw University of Science and Technology)
Deep Generative Model for Non-convex Constraint Handling	Naoki Sakamoto (University of Tsukuba, RIKEN AIP); Eiji Semmatsu (Shinshu University); and Kazuto Fukuchi, Jun Sakuma, and Youhei Akimoto (University of Tsukuba, RIKEN AIP)
Improving generalisation of AutoML systems with dynamic fitness evaluations	Benjamin Patrick Evans, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
Scaling MAP-Elites to Deep Neuroevolution	Cédric Colas (Inria), Joost Huizinga (Uber AI Labs), Vashisht Madhavan (Element Inc.), and Jeff Clune (OpenAI)
A Weighted Population Update Rule for PACO Applied to the Single Machine Total Weighted Tardiness Problem	Daniel Abitz, Tom Hartmann, and Martin Middendorf (Leipzig University)
COUGAR: Clustering Of Unknown malware using Genetic Algorithm Routines	Zachary Wilkins and Nur Zincir-Heywood (Dalhousie University)
Analysis of the Performance of Algorithm Configurators for Search Heuristics with Global Mutation Operators	George T. Hall, Pietro S. Oliveto, and Dirk Sudholt (The University of Sheffield)
Algorithm Selection of Anytime Algorithms	Alexandre D. Jesus (Univ. Lille, University of Coimbra); Arnaud Liefooghe (JFLI - CNRS - University of Tokyo); Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe); and Luís Paquete (University of Coimbra)
Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization	Valéria de Carvalho Santos (Universidade Federal de Ouro Preto), Fernando Esteban Barril Otero and Colin Johnson (University of Kent), and Fernando Santos Osório and Cláudio Toledo (University of Sao Paulo)
Self-adaptation of XCS learning parameters based on Learning theory	Motoki Horiuchi and Masaya Nakata (Yokohama National University)
Do Sophisticated Evolutionary Algorithms Perform Better than Simple Ones?	Michael Foster, Matthew Hughes, George O'Brien, Pietro S. Oliveto, James Pyle, Dirk Sudholt, and James Williams (University of Sheffield)
Understanding Transforms of Pseudo-Boolean Functions	Darrell Whitley (Colorado State University), Hernan Aguirre (Shinshu University), and Andrew Sutton (University of Minnesota)
Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants	Anja Jankovic (Sorbonne Université) and Carola Doerr (CNRS, Sorbonne Université)
Leveraging Conditional Linkage Models in Gray-box Optimization with the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm	Anton Bouter (Centrum Wiskunde & Informatica (CWI)); Stefanus C. Maree (Amsterdam UMC, University of Amsterdam); Tanja Alderliesten (Leiden University Medical Center); and Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology)
A Tight Lower Bound on the Expected Runtime of Standard Steady State Genetic Algorithms	Carsten Witt (Technical University of Denmark) and Pietro S. Oliveto and Dirk Sudholt (The University of Sheffield)
Neuroevolution of Self-Interpretable Agents	Yujin Tang, Duong Nguyen, and David Ha (Google)
Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework	Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko, and Markus Wagner (The University of Adelaide)
Learning behaviour-performance maps with meta-evolution	David M. Bossens (University of Southampton); Jean-Baptiste Mouret (Inria, CNRS, Université de Lorraine); and Danesh Tarapore (University of Southampton)
On the Choice of the Parameter Control Mechanism in the (1+(λ,λ)) Genetic Algorithm	Mario Alejandro Hevia Fajardo (The University of Sheffield) and Dirk Sudholt (University of Sheffield)
Fast Mutation in Crossover-based Algorithms	Denis Antipov (ITMO University, Ecole Polytechnique); Maxim Buzdalov (ITMO University); and Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX))
Analyzing Adaptive Parameter Landscapes in Parameter Adaptation Methods for Differential Evolution	Ryoji Tanabe (Yokohama National University)
Versatile Black-Box Optimization	Jialin Liu (Southern University of Science and Technology); Antoine Moreau (Université Clermont Auvergne); Mike Preuss (Leiden Institute of Advanced Computer Science, Universiteit Leiden); Jeremy Rapin and Baptiste Roziere (Facebook AI Research); Fabien Teytaud (Université du Littoral Côte d'Opale); and Olivier Teytaud (Facebook AI Research)
Integrated vs. Sequential Approaches for Selecting and Tuning CMA-ES Variants	Diederick L. Vermetten (Leiden University); Hao Wang (Sorbonne University); Carola Doerr (Sorbonne University, CNRS); and Thomas Bäck (Leiden University)
Program Synthesis as Latent Continuous Optimization: Evolutionary Search in Neural Embeddings	Pawel Liskowski (NNAISENSE), Krzysztof Krawiec (Poznan University of Technology), and Nihat Engin Toklu and Jerry Swan (NNAISENSE)
Adaptively Preserving Solutions in Both Feasible and Infeasible Regions on Generalized Multiple Constraint Ranking	Yohanes Bimo Dwianto (The University of Tokyo) and Hiroaki Fukumoto and Akira Oyama (Japan Aerospace Exploration Agency)
Journey to the Center of the Linear Ordering Problem	Leticia Hernando and Alexander Mendiburu (University of the Basque Country) and Jose A. Lozano (University of the Basque Country, Basque Center for Applied Mathematics)
What is a Good Direction Vector Set for The R2-based Hypervolume Contribution Approximation	Yang Nan, Ke Shang, and Hisao Ishibuchi (Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology)
Multi-layer local optima networks for the analysis of advanced local search-based algorithms	Marcella Scoczynski Ribeiro Martins (The Federal University of Technology - Paraná), Mohamed El Yafrani (Aalborg University), and Myriam Regattieri De Biase Da Silva Delgado and Ricardo Lüders (The Federal University of Technology - Paraná)
Golden Parameter Search: Exploiting Structure to Quickly Configure Parameters in Parallel	Yasha Pushak (University of British Columbia) and Holger H. Hoos (Leiden University)
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space	Matthew C. Fontaine (University of Southern California), Julian Togelius (New York University), Stefanos Nikolaidis (University of Southern California), and Amy K. Hoover (New Jersey Institute of Technology)
Bivariate Estimation-of-Distribution Algorithms Can Find an Exponential Number of Optima	Benjamin Doerr (École Polytechnique, Laboratoire d'Informatique (LIX)) and Martin S. Krejca (Hasso Plattner Institute, University of Potsdam)
Exploring the Evolution of GANs through Quality Diversity	Victor Costa, Nuno Lourenço, Joao Correia, and Penousal Machado (University of Coimbra, CISUC, DEI)
A Multiobjective Optimization Approach for Market Timing	Ismail Mohamed and Fernando E.B. Otero (University of Kent)
Why Many Traveling Salesman Problem Instances Are Easier Than You Think	Swetha Varadarajan and Darrell Whitley (Colorado State University) and Gabriela Ochoa (Stirling University)
More Effective Randomized Search Heuristics for Graph Coloring Through Dynamic Optimization	Jakob Bossek and Frank Neumann (The University of Adelaide) and Pan Peng and Dirk Sudholt (University of Sheffield)
Lateralized Learning for Robustness Against Adversarial Attacks in a Visual Classification System	Abubakar Siddique, Will N. Browne, and Gina M. Grimshaw (Victoria University of Wellington)
Absumption and Subsumption based Learning Classifier Systems	Yi Liu (Victoria University of Wellington) and Will N. Browne and Bing Xue (Victoria University of Wellington)
Evolving ab initio trading strategies in heterogeneous environments	David Rushing Dewhurst (University of Vermont, MassMutual Financial Group) and Yi Li, Alex Bogdan, and Jasmine Geng (MassMutual Financial Group)
DAE-GP: Denoising Autoencoder LSTM Networks as Probabilistic Models in Estimation of Distribution Genetic Programming	David Wittenberg, Franz Rothlauf, and Dirk Schweim (Johannes Gutenberg-Universität)
A Study on Graph Representations for Genetic Programming	Léo Françoso Sotto (Federal University of Sao Paulo), Paul Kaufmann (University of Mainz), Timothy Atkinson (University of Manchester), Roman Kalkreuth (TU Dortmund), and Márcio Porto Basgalupp (Federal University of Sao Paulo)
An Evolutionary Optimization Algorithm for Gradually Saturating Objective Functions	Dolly Sapra and Andy D. Pimentel (University of Amsterdam)
Does Comma Selection Help To Cope With Local Optima?	Benjamin Doerr (Ecole Polytechnique, Institute Polytechnique de Paris)
Automated Design of Multi-Level Network Partitioning Heuristics Employing Self-Adaptive Primitive Granularity Control	Aaron Scott Pope (Los Alamos National Laboratory) and Daniel R. Tauritz (Auburn University)
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks	Jacob Schrum and Jake Gutierrez (Southwestern University); Vanessa Volz (modl.ai); Jialin Liu (Southern University of Science and Technology); Simon Lucas (Queen Mary University of London); and Sebastian Risi (modl.ai, IT University of Copenhagen)
Adaptive Augmented Evolutionary Intelligence for the Design of Water Distribution Networks	Matthew Barrie Johns, Herman Mahmoud, and Edward Keedwell (University of Exeter) and Dragan Savic (University of Exeter, KWR Water Research Institute)
A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains	Mohamad Alissa, Kevin Sim, and Emma Hart (Edinburgh Napier University)
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems	Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, and Wen-Hua Chen (Loughborough University); Praveen Pilly (HRL Laboratories); and Andrea Soltoggio (Loughborough University)
Model-based Optimization with Concept Drifts	Jakob Richter, Junjie Shi, Jian-Jia Chen, Jörg Rahnenführer, and Michel Lang (TU Dortmund)
Causes and Effects of Fitness Landscapes in Unit Test Generation	Nasser Albunian (The University of Sheffield), Gordon Fraser (University of Passau), and Dirk Sudholt (University of Sheffield)
Symbolic Regression Driven by Training Data and Prior Knowledge	Jiri Kubalik and Erik Derner (Czech Technical University) and Robert Babuska (Czech Technical University, Technical University of Delft)
Neural Architecture Search for Sparse DenseNets with Dynamic Compression	Damien O'Neill, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
ℇ-shotgun: ℇ-greedy Batch Bayesian Optimisation	George De Ath, Richard M. Everson, and Jonathan E. Fieldsend (University of Exeter) and Alma A. M. Rahat (Swansea University)
Improving Constrained Clustering Via Decomposition-based Multiobjective Optimization with Memetic Elitism	Germán González-Almagro (University of Granada, DaSCI Andalusian Institute of Data Science and Computational Intelligence); Alejandro Rosales-Pérez (Tecnológico de Monterrey); Julián Luengo (University of Granada, DaSCI Andalusian Institute of Data Science and Computational Intelligence); José-Ramón Cano (University of Jaén; Dept. of Computer Science, EPS of Linares); and Salvador García (University of Granada, DaSCI Andalusian Institute of Data Science and Computational Intelligence)
Non-deterministic Journey Planning in Multi-modal Transportation Networks: A Meta-heuristic Approach	Mohammad Haqqani, Xiaodong Li, and Xinghuo Yu (RMIT University)
Data Structures for Non-Dominated Sets: Implementations and Empirical Assessment of Two Decades of Advances	Jonathan Edward Fieldsend (University of Exeter)
Initial Design Strategies and their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB	Jakob Bossek (The University of Adelaide); Carola Doerr (CNRS, Sorbonne University); and Pascal Kerschke (University of Münster)
Synthesis through Unification Genetic Programming	Thomas Welsch and Vitaliy Kurlin (University of Liverpool)
On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization	Michal Tomczyk and Milosz Kadzinski (Poznan University of Technology)
A Genetic Programming Approach to Feature Construction for Ensemble Learning in Skin Cancer Detection	Qurrat Ul Ain, Harith Al-sahaf, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
A Biased Random Key Genetic Algorithm applied to the VRPTW with Skill Requirements and Synchronization Constraints	Alberto Francisco Kummer and Luciana Salete Buriol (Federal University of Rio Grande do Sul) and Olinto César Bassi de Araújo (Federal University of Santa Maria)
The (1 + ( λ, λ)) GA Is Even Faster on Multimodal Problems	Denis Antipov (ITMO University, Ecole Polytechnique); Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)); and Vitalii Karavaev (ITMO University)
Scalability analysis of Grammatical Evolution Based Test Data Generation	Muhammad Sheraz Anjum and Conor Ryan (University of Limerick)
Impact of NSGA-II Objectives on EEG Feature Selection Related to Motor Imagery	Miguel Leon, Christoffer Parkkila, Jonatan Tidare, Ning Xiong, and Elaine Astrand (Malardalen University)
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization	Amirhossein Rajabi and Carsten Witt (Technical University of Denmark)
Modelling Parameter Configuration Spaces with Local Optima Networks	Germán Treimun-Costa (Universidad Técnica Federico Santa María), Elizabeth Montero (Universidad Andres Bello), Gabriela Ochoa (University of Stirling), and Nicolás Rojas-Morales (Universidad Técnica Federico Santa María)
Multi-Fitness Learning for Behavior-Driven Cooperation	Connor Yates, Reid Christopher, and Kagan Tumer (Oregon State University)
Adaptive Weighted Splines - A New Representation to Genetic Programming for Symbolic Regression	Christian Raymand, Qi Chen, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
Quality Diversity for Multi-task Optimization	Jean-Baptiste Mouret and Glenn Maguire (Inria)
Improving Symbolic Regression based on Correlation Between Residuals and Variables	Qi Chen, Bing Xue, and Mengjie Zhang (Victoria University of Wellington)
Towards Crossing the Reality Gap with Evolved Plastic Neurocontrollers	Huanneng Qiu and Matthew Garratt (The University of New South Wales Canberra); David Howard (Robotics and Autonomous Systems Group, CSIRO); and Sreenatha Anavatti (The University of New South Wales Canberra)
Genetic Algorithms for Redundancy in Interaction Testing	Ryan Edward Dougherty (Colgate University)
Evolving Diverse Sets of Tours for the Travelling Salesperson Problem	Anh Viet Do, Jakob Bossek, Aneta Neumann, and Frank Neumann (The University of Adelaide)
Novelty Search makes Evolvability Inevitable	Stéphane Doncieux (Sorbonne Universite; CNRS, ISIR); Giuseppe Paolo (Softbank Robotics Europe, AI Lab; Sorbonne Universite); Alban Laflaquière (Softbank Robotics Europe, AI Lab); and Alexandre Coninx (Sorbonne Universite; CNRS, ISIR)
Evolving Energy Demand Estimation Models over Macroeconomic Indicators	Nuno Lourenço (University of Coimbra), José Manuel Colmenar (Universidad Rey Juan Carlos), J. Ignacio Hidalgo (Universidad Complutense de Madrid), and Sancho Salcedo Sanz (Universidad de Alcalá)
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA	Mairin Kroes (Delft University of Technology, Xilinx); Lucian Petrica (Xilinx); Sorin Cotofana (Delft University of Technology); and Michaela Blott (Xilinx)
Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles	Martin Binder and Julia Moosbauer (Ludwig-Maximilians-Universität München, Department of Statistics); Janek Thomas (Fraunhofer Institute for Integrated Circuits IIS); and Bernd Bischl (Ludwig-Maximilians-Universität München, Department of Statistics)
Segmented Initialization and Offspring Modification in Evolutionary Algorithms for Bi-objective Feature Selection	Hang Xu (Victoria University of Wellington, Putian University) and Bing Xue and Mengjie Zhang (Victoria University of Wellington)
XCS Classifier System with Experience Replay	Anthony Stein (University of Hohenheim), Roland Maier (University of Augsburg), Lukas Rosenbauer (BSH Home Appliances), and Jörg Hähner (University of Augsburg)
Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case	Diederick L. Vermetten (Leiden University); Hao Wang (Sorbonne University, CNRS); Thomas Bäck (Leiden University); and Carola Doerr (Sorbonne University, CNRS)
An Improved GPU-Accelerated Heuristic Technique Applied to the Capacitated Vehicle Routing Problem	Marwan Fouad Abdelatti and Manbir Singh Sodhi (University of Rhode Island)
Diversity Preservation in Minimal Criterion Coevolution through Resource Limitation	Jonathan C. Brant and Kenneth O. Stanley (University of Central Florida)
Solving Constrained Combinatorial Reverse Auctions Using MOEAs: A Comparative Study.	Elaine Guerrero-Peña (Universidade Federal de Pernambuco), Fernanda Nakano Kazama and Paulo de Barros Correia (University of Campinas), and Aluizio F.R. Araújo (Universidade Federal de Pernambuco)
Constraint Handling within MOEA/D Through an Additional Scalarizing Function	Saul Zapotecas-Martinez (Universidad Autónoma Metropolitana Unidad Cuajimalpa) and Antonin Sebastien Ponsich (Universidad Autónoma Metropolitana Unidad Azcapotzalco)
Genetic Algorithm for the Weight Maximization Problem on Weighted Automata	Elena Gutiérrez (IMDEA Software Institute, Universidad Politécnica de Madrid) and Takamasa Okudono, Masaki Waga, and Ichiro Hasuo (National Institute of Informatics, The Graduate University for Advanced Studies (SOKENDAI))
ACO with automatic parameter selection for a scheduling problem with a job group cumulative constraint	Lucas Groleaz (LIRIS, Infologic); Samba-Ndojh Ndiaye (LIRIS, CITI); and Christine Solnon (CITI)
AutoLR: An Evolutionary Approach to Learning Rate Policies	Pedro Carvalho and Nuno Lourenço (University of Coimbra); Filipe Assunçao (University of Coimbra, University of Lisbon); and Penousal Machado (University of Coimbra)
Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem	Vahid Roostapour, Jakob Bossek, and Frank Neumann (The University of Adelaide)
Another Difficulty of Inverted Triangular Pareto Fronts for Decomposition-Based Multi-Objective Algorithms	Linjun He (Southern University of Science and Technology, National University of Singapore); Auraham Camacho (CINVESTAV Unidad Tamaulipas); and Hisao Ishibuchi (Southern University of Science and Technology)
Gap Finding and Validation in Evolutionary Multi- and Many-Objective Optimization	Pablo Valledor Pellicer, Miguel Iglesias Escudero, and Silvino Fernández Alzueta (ArcelorMittal) and Kalyanmoy Deb (Michigan State University)
Towards an evolutionary-based approach for natural language processing	Luca Manzoni (University of Trieste), Domagoj Jakobovic (University of Zagreb), Luca Mariot and Stjepan Picek (Delft University of Technology), and Mauro Castelli (Universidade Nova de Lisboa)
Multi-layer Heterogeneous Ensemble with Classifier and Feature Selection	Thanh Tien Nguyen (Robert Gordon University), Van Nang Pham (Hanoi University of Science and Technology), Truong Manh Dang (Robert Gordon University), Vu Anh Luong (Griffith University), John McCall (Robert Gordon University), and Alan Wee-Chung Liew (Griffith University)
Code Building Genetic Programming	Edward Pantridge (Swoop) and Lee Spector (Amherst College, Hampshire College)
A Memetic Level-based Learning Swarm Optimizer for Large-scale Water Distribution Network Optimization	Ya-Hui Jia, Yi Mei, and Mengjie Zhang (Victoria University of Wellington)
A Modular Memory Framework for Time Series Prediction	Stephen Paul Kelly, Jacob Newsted, Wolfgang Banzhaf, and Cedric Gondro (Michigan State University)
A Robust Experimental Evaluation of Automated Multi-Label Classification Methods	Alex G. C. de Sá, Cristiano G. Pimenta, and Gisele L. Pappa (UFMG) and Alex A. Freitas (University of Kent)
Towards Rigorous Validation of Energy Optimisation Experiments	Mahmoud Bokhari (School of Computer Science, The University of Adelaide; Taibah University) and Markus Wagner and Brad Alexander (School of Computer Science, The University of Adelaide)
Feature Standardisation and Coefficient Optimisation for Effective Symbolic Regression	Grant Dick, Caitlin A. Owen, and Peter A. Whigham (University of Otago, Information Science Dept.)
Variable Reduction for Surrogate-Based Optimization	Frederik Rehbach, Lorenzo Gentile, and Thomas Bartz-Beielstein (TH Köln)
CMA-ES for One-Class Constraint Synthesis	Marcin Karmelita and Tomasz P. Pawlak (Institute of Computing Science, Poznan University of Technology)
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription	Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, and Hormoz Shahrzad (Cognizant Technology Solutions)

Accepted Papers

Accepted Papers

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