| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| Golden Parameter Search: Exploiting Structure to Quickly Configure Parameters in Parallel | Yasha Pushak (University of British Columbia) and Holger H. Hoos (Leiden University) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| Model-based Optimization with Concept Drifts | Jakob Richter, Junjie Shi, Jian-Jia Chen, Jörg Rahnenführer, and Michel Lang (TU Dortmund) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| Genetic Algorithms for Redundancy in Interaction Testing | Ryan Edward Dougherty (Colgate University) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| Distributed Random Walks for Fitness Landscape Analysis | Ryan Dieter Lang and Andries Petrus Engelbrecht (Stellenbosch University) |
| 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) |
| Constructing Efficient Multigrid Solvers with Genetic Programming | Jonas Schmitt, Sebastian Kuckuk, and Harald Köstler (University of Erlangen-Nuremberg) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |