- The review process is now over: 136 contributions have been accepted as posters. They will be published in the Companion Volume (and hence in the Digital Library) and shown during the poster session of the conference.
- Search the list below by typing text in the column headers.
- See also the list of accepted papers.
- The Call for Papers and the Papers Submission Instructions are still available for your information.
List of Accepted Posters
| Track | Title | Authors |
|---|---|---|
| NE | Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming | Henrik Daniel Mettler (University of Bern); Maximilian Schmidt (RIKEN Center for Brain Science, Tokyo); Walter Senn (University of Bern); Mihai Alexandru Petrovici (University of Bern, Heidelberg University); and Jakob Jordan (University of Bern) |
| GECH | Learning Multiple Defaults for Machine Learning Algorithms | Florian Pfisterer (LMU Munich, Deptartment of Statistics, Munich Germany); Jan N. van Rijn (LIACS, Leiden University); Philipp Probst (N/A); Andreas Mueller (Microsoft); and Bernd Bischl (LMU Munich, Deptartment of Statistics, Munich Germany) |
| RWA | Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis | Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, and Martin Zaefferer (TH Köln) |
| CS | Automatic Exploration of the Property Space of Reservoirs | Mika Ito, Leo Cazenille, and Nathanael Aubert-Kato (Ochanomizu University) |
| GP | Improving Estimation of Distribution Genetic Programming with Novelty Initialization | Christian Olmscheid, David Wittenberg, Dominik Sobania, and Franz Rothlauf (University of Mainz) |
| ENUM | Disease Outbreaks: Tuning Predictive Machine Learning | Geoff Nitschke and Amina Abdullahi (University of Cape Town) |
| EML | Detecting Anomalies in Spacecraft Telemetry Using Evolutionary Thresholding and LSTMs | Pawel Benecki (KP Labs, Silesian University of Technology); Szymon Piechaczek (KP Labs); Daniel Kostrzewa (KP Labs, Silesian University of Technology); and Jakub Nalepa (Silesian University of Technology, KP Labs) |
| EMO | Multi-Objective Last Step Preference Bayesian Optimization | Juan Ignacio Ungredda and Juergen Branke (University of Warwick) and Mariapia Marchi and Teresa Montrone (ESTECO SpA) |
| GA | ALF – A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks | Rune Krauss, Marcel Merten, and Mirco Bockholt (Institute of Computer Science, University of Bremen) and Rolf Drechsler (Group of Computer Architecture, University of Bremen; Cyber-Physical Systems, DFKI GmbH) |
| ENUM | CMA-ES with Coordinate Selection for High-Dimensional and Ill-Conditioned Functions | Hiroki Shimizu (The University of Tokyo) and Masashi Toyoda (Institute of Industrial Science, the University of Tokyo) |
| RWA | An Optimal Oil Skimmer Assignment Based on a Genetic Algorithm with Minimal Mobilized Locations | Dong-Hee Cho and Yong-Hyuk Kim (Kwangwoon Univ.) |
| ECOM | Stochastic Local Search for Efficient Hybrid Feature Selection | Ole Jakob Mengshoel (Norwegian University of Science and Technology, Carnegie Mellon University); Tong Yu (Carnegie Mellon University); Jon Riege (Norwegian University of Science and Technology); and Eirik Flogard (Norwegian University of Science and Technology, Arbeidstilsynet) |
| ECOM | Selecting Between Evolutionary and Classical Algorithms for the CVRP Using Machine Learning | Justin C. Fellers, Jose D. Quevedo, and Marwan F. Abdelatti (University of Rhode Island); Meghan K. Steinhaus (The Coast Guard Academy); and Manbir S. Sodhi (University of Rhode Island) |
| SBSE | Neurogenetic Programming Framework for Explainable Reinforcement Learning | Vadim Liventsev (Technical University of Eindhoven, Philips Research); Aki Härmä (Philips Research); and Milan Petković (Technical University of Eindhoven, Philips Research) |
| ECOM | Error Function Learning with Interpretable Compositional Networks for Constraint-Based Local Search | Florian Richoux (AIST) and Jean-François Baffier (The University of Tokyo) |
| ENUM | Automated Feature Detection of Black-Box Continuous Search-Landscapes using Neural Image Recognition | Boris Yazmir (The Galilee Research Institute - Migal) and Ofer M. Shir (Tel-Hai College, The Galilee Research Institute - Migal) |
| GP | Improving the Generalisation of Genetic Programming Models with Evaluation Time and Asynchronous Parallel Computing | Aliyu Sani Sambo, R. Muhammad Atif Azad, and Yevgeniya Kovalchuk (Birmingham City University, School of Computing & Digital Technology); Vivek Padmanaabhan Indramohan (Birmingham City University, School of Health Science); and Hanifa Shah (Birmingham City University; Faculty of Computing, Engineering and the Built Environment) |
| EML | Meta-Learning for Symbolic Hyperparameter Defaults | Pieter Gijsbers (Department Mathematics and Computer Science, Technical University of Eindhoven); Florian Pfisterer (LMU Munich, Deptartment of Statistics, Munich Germany); Jan N. van Rijn (LIACS, Leiden University); Bernd Bischl (LMU Munich, Deptartment of Statistics, Munich Germany); and Joaquin Vanschoren (Department Mathematics and Computer Science, Technical University of Eindhoven) |
| CS | Heterogeneous Agent Coordination via Adaptive Quality Diversity and Specialization | Gaurav Dixit, Charles Koll, and Kagan Tumer (Oregon State University) |
| EML | Sparsity-based Evolutionary Multi-objective Feature Selection for Multi-label Classification | Kaan Demir, Bach Hoai Nguyen, Bing Xue, and Mengjie Zhang (Victoria University of Wellington) |
| ACO-SI | Novelty Particle Swarm Optimisation for Truss Optimisation Problems | Hirad Assimi, Frank Neumann, and Markus Wagner (University of Adelaide) and Xiaodong Li (RMIT University) |
| GA | A Genetic Algorithm Approach to Compute Mixed Strategy Solutions for General Stackelberg Games | Srivathsa Gottipati and Praveen Paruchuri (International Institute of Information Technology) |
| ACO-SI | Ant Swarm Algorithm for Self-Organizing Complex System | Juntao Zhang (Huazhong University of Science and Technology) and Peng Cheng (Coolanyp, LLC) |
| EML | Understanding evolutionary induction of decision trees: A multi-tree repository approach | Krzysztof Jurczuk, Marcin Czajkowski, and Marek Kretowski (Bialystok University of Technology) |
| GA | A Benchmark Generator of Tree Decomposition Mk Landscapes | Dirk Thierens and Tobias van Driessel (Utrecht University) |
| ENUM | Reinforcement Learning for Dynamic Optimization Problems | Abdennour Boulesnane (Faculty of Medicine, Salah Boubnider University) and Souham Meshoul (Princess Nourah Bint Abdulrahman University RC-CCIS) |
| GP | Empirical Analysis of Variance for Genetic Programming based Symbolic Regression | Lukas Kammerer (University of Applied Sciences Upper Austria, Johannes Kepler University); Gabriel Kronberger (University of Applied Sciences Upper Austria); and Stephan Winkler (University of Applied Sciences Upper Austria, Johannes Kepler University) |
| ECOM | Introducing a Hash Function for the Travelling Salesman Problem for Differentiating Solutions | Mehdi El Krari (Univ. Lille, Centrale Lille); Rym Nesrine Guibadj (Université du Littoral Côte d'Opale); John Woodward (Queen Mary University of London); and Denis Robilliard (Université du Littoral Côte d'Opale) |
| EML | Evolving Local Interpretable Model-agnostic Explanations for Deep Neural Networks in Image Classification | Bin Wang, Wenbin Pei, Bing Xue, and Mengjie Zhang (Victoria University of Wellington) |
| GECH | Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Configuration | Furong Ye (Leiden University); Carola Doerr (CNRS, Sorbonne Université); and Thomas Bäck (Leiden University) |
| ACO-SI | Learning Assignment Order In An Ant Colony Optimiser For The University Course Timetabling Problem | James Sakal, Jonathan Fieldsend, and Edward Keedwell (University of Exeter) |
| CS | Pathogen Dose based Natural Killer Cell Algorithm for Classification | Dongmei Wang, Yiwen Liang, Chengyu Tan, Hongbin Dong, and Xinmin Yang (Wuhan University) |
| NE | A NEAT-based Multiclass Classification Method with Class Binarization | Zhenyu Gao (VU University Amsterdam) and Gongjin Lan (Southern University of Science and Technology) |
| CS | Growing Simulated Robots with Environmental Feedback: an Eco-Evo-Devo Approach | Kathryn Walker (IT University of Copenhagen), Helmut Hauser (University of Bristol), and Sebastian Risi (IT University of Copenhagen) |
| EML | Explainability and Performance of Anticipatory Learning Classifier Systems in Non-Deterministic Environments | Romain Orhand and Anne Jeannin-Girardon (Icube Laboratory, University of Strasbourg); Pierre Parrend (Icube Laboratory, ECAM Strasbourg-Europe); and Pierre Collet (Icube Laboratory, University of Strasbourg) |
| EMO | Landmark-Based Multi-Objective Route Planning for Large-scale Road Net | jiaze sun and Nan Han (Xi'an University of Posts and Telecommunications), jianbin huang (Xidian University), and jiahui deng (Northwest University) |
| RWA | Risk Aware Optimization of Water Sensor Placement | Antonio Candelieri, Andrea Ponti, and Francesco Archetti (University of Milano-Bicocca) |
| RWA | A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete | Fabian Clemens Weigend (Western Sydney University), Jason Siegler (Arizona State University), and Oliver Obst (Western Sydney University) |
| RWA | Optimising the Introduction of Connected and Autonomous Vehicles in a Public Transport System using Macro-Level Mobility Simulations and Evolutionary Algorithms | Kate Han, Lee Ashley Christie, Alexandru-Ciprian Zu{a}voianu, and John W. McCall (Robert Gordon University) |
| ACO-SI | On detecting the novelties in metaphor-based algorithms | Iztok Jr. Fister and Iztok Fister (University of Maribor) and Andres Iglesias and Akemi Galvez (University of Cantabria) |
| EMO | Multi-Criteria Differential Evolution: Treating Multitask Optimization as Multi-Criteria Optimization | Jian-Yuian Li (South China University of Technology, Pazhou Laboratory); Ke-Jing Du (Victoria University); Zhi-Hui Zhan (South China University of Technology, Pazhou Laboratory); and Hua Wang and Jun Zhang (Victoria University) |
| CS | Ad hoc Teaming Through Evolution | Joshua Cook and Kagan Tumer (Oregon State University) |
| Theory | Affine OneMax | Arnaud Berny (Independent researcher) |
| EMO | The Effect of Offspring Population Size on NSGA-II: A Preliminary Study | Max Benjamin Hort and Federica Sarro (University College London) |
| GA | Three population co-evolution for generating mechanics of endless runner games | Vojtěch Černý and Jakub Gemrot (Charles University) |
| CS | Environmental Impact on Evolving Language Diversity | Geoff Nitschke (University of Cape Town) |
| EMO | An Approximate MIP-DoM Calculation for Multi-objective Optimization using Affinity Propagation Clustering Algorithm | Cláudio Lúcio do Val Lopes (CEFET-MG, A3Data); Flávio V. Cruzeiro Martins (CEFET-MG); Elizabeth Fialho Wanner (CEFET-MG, Aston University); and Kalyanmoy Deb (Michigan State University) |
| GP | "Re-ID BUFF": An Enhanced Similarity Measurement Based on Genetic Programming for Person Re-identification | Yiming Li and Lin Shang (Nanjing University) |
| CS | The Impact of Different Tasks on Evolved Robot Morphologies | Matteo De Carlo (Vrije Universiteit Amsterdam); Eliseo Ferrante (Vrije Universiteit Amsterdam, Technology Innovation Institute); and Jacintha Ellers, Gerben Meynen, and A. E. Eiben (Vrije Universiteit Amsterdam) |
| GA | Quantum Genetic Selection | Giovanni Acampora (University of Naples Federico II; Istituto Nazionale di Fisica Nucleare, Sezione di Napoli) and Roberto Schiattarella and Autilia Vitiello (University of Naples Federico II) |
| RWA | Distributed Evolutionary Design of HIFU Treatment Plans | Jakub Chlebik and Jiri Jaros (Brno University of Technology) |
| Theory | Time Complexity Analysis of the Deductive Sort in the Best Case | Sumit Mishra and Ved Prakash (Indian Institute of Information Technology Guwahati) |
| ECOM | Automated Configuration of Parallel Machine Dispatching Rules by Machine Learning | Georg Faustmann (TU Wien), Christoph Mrkvicka (MCP GmbH), and Nysret Musliu and Felix Winter (TU Wien) |
| GP | Principled quality diversity for ensemble classifiers using MAP-Elites | Kyle L. Nickerson (Memorial University of Newfoundland) and Ting Hu (Queens University) |
| EMO | Two Comprehensive Performance Metrics for Overcoming the Deficiencies of IGD and HV | Liping Wang, Lin Zhang, and Yu Ren (Zhejiang University of Technology); Qicang Qiu (Zhejiang Lab); and Feiyue Qiu (Zhejiang University of Technology) |
| NE | Evolving Transformer Architecture for Neural Machine Translation | Ben Feng, Dayiheng Liu, and Yanan Sun (Sichuan University) |
| GA | Optimization of Multi-Objective Mixed-Integer Problems with a Model-Based Evolutionary Algorithm in a Black-Box Setting | Krzysztof Leszek Sadowski and Dirk Thierens (Utrecht University) and Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI)) |
| EML | Multi-objective Genetic Programming for Symbolic Regression with the Adaptive Weighted Splines Representation | Christian Raymond, Qi Chen, Bing Xue, and Mengjie Zhang (Victoria University of Wellington) |
| ECOM | Optimizing a GPU-Accelerated Genetic Algorithm for the Vehicle Routing Problem | Marwan Fouad Abdelatti, Abdeltawab Hendawi, and Manbir Singh Sodhi (University of Rhode Island) |
| GP | GLEAM: Genetic Learning by Extraction and Absorption of Modules | Anil Kumar Saini (University of Massachusetts Amherst) and Lee Spector (Amherst College, Hampshire College) |
| EMO | A Niching Framework based on Fitness Proportionate Sharing for Multi-Objective Genetic Algorithm (MOGA-FPS) | Abdul-Rauf Nuhu and Xuyang Yan (North Carolina A&T State University), Daniel Opoku (Kwame Nkrumah University of Science and Technology), and Abdollah Homaifar (North Carolina Agricultural and Technical State University) |
| GP | Genetic Programming with A New Representation and A New Mutation Operator for Image Classification | Qinglan Fan, Ying Bi, Bing Xue, and Mengjie Zhang (Victoria University of Wellington) |
| GA | Fitness Value Curves Prediction in the Evolutionary Process of Genetic Algorithms | Renuá Meireles Almeida, Denys Menfredy Ferreira Ribeiro, Rodrigo Moraes Rodrigues, and Otávio Noura Teixeira (Federal University of Pará) |
| GA | It's the Journey Not the Destination; Building Genetic Algorithms Practitioners Can Trust | Jakub Vincalek, Sean Walton, and Ben Evans (Swansea University) |
| GP | Fitness First and Fatherless Crossover | w. b. langdon (University College London) |
| ACO-SI | Evolved Response Thresholds Generalize Across Problem Instances for a Deterministic-Response Multiagent System | H. David Mathias (University of Wisconsin - La Crosse), Annie S. Wu (University of Central Florida), and Daniel Dang (Whitman College) |
| CS | Examining Forms of Inductive Bias Towards `Simplicity' in Genetic Algorithms to Enhance Evolvability of Boolean Functions | Hetvi Jethwani and Sumeet Agarwal (Indian Institute of Technology Delhi) |
| RWA | Novelty Search for Evolving Interesting Character Mechanics for a Two-Player Video Game | Eirik Høgdahl Skjærseth and Harald Vinje (Norwegian University of Science and Technology) and Ole Jakob Mengshoel (Norwegian University of Science and Technology, Carnegie Mellon University) |
| ENUM | Estimation of von Mises-Fisher Distribution Algorithm, with application to support vector classification | Adetunji David Ajimakin and V. Susheela Devi (Indian Institute of Science) |
| GP | Adversarial Bandit Gene Expression Programming for Symbolic Regression | Congwen Xu (China University of Petroleum Beijing), Qiang Lu (China University of Petroleum), Jake Luo (University of Wisconsin Milwaukee), and Zhiguang Wang (China University of Petroleum Beijing) |
| RWA | Structural Damage Identification under Non-linear EOV Effects Using Genetic Programming | Mohsen Mousavi and Amir H. Gandomi (University of Technology Sydney) and Magd Abdel Wahab (Ghent University) |
| CS | Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots | Margarita Alejandra Rebolledo Coy (TH Köln, VU University Amsterdam); Daan Zeeuwe (VU University Amsterdam); Thomas Bartz-Beielstein (TH Köln); and A.E. Eiben (VU University Amsterdam) |
| RWA | Weighted Ensemble of Gross Error Detection methods based on Particle Swarm Optimization | Daniel Dobos, Thanh Tien Nguyen, and John McCall (School of Computing, Robert Gordon University) and Allan Wilson, Phil Stockton, and Helen Corbett (Accord-ESL) |
| GP | Neurally Guided Transfer Learning for Genetic Programming | Alexander Wild and Barry Porter (Lancaster University) |
| EMO | Generating Multi-Objective Bilevel Optimization Problems with Multiple Non-Cooperative Followers | Jesus-Adolfo Mejia-de-Dios and Efren Mezura-Montes (University of Veracruz) |
| EML | Permutation-based Optimization using Generative Adversarial Networks | Sami Lemtenneche (Ouargla University) and Abdelhakim Cheriet and Abdellah Bensayah (Ouargla university) |
| NE | Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment | Xinyun Zou (University of California, Irvine); Eric Scott (George Mason University); Alexander Johnson (University of California, San Diego); Kexin Chen (University of California, Irvine); Douglas Nitz (University of California, San Diego); Kenneth De Jong (George Mason University); and Jeffrey Krichmar (University of California, Irvine) |
| EML | Scatter Search for high-dimensional feature selection using feature grouping | Miguel García Torres (Universidad Pablo de Olavide, Universidad Americana); Diego P. Pinto Roa and José Luis Vázquez Noguera (Universidad Americana); Federico Divina and Francisco Gómez Vela (Universidad Pablo de Olavide); and Julio C. Mello Román (Univesidad Americana, Universidad Nacional de Concepción) |
| RWA | Dealing With a Problematic Roundabout by Optimizing a Traffic Light System Through Evolutionary Computation | Francisco Cruz-Zelante, Eduardo Segredo, and Gara Miranda (Universidad de La Laguna) |
| ECOM | A Hybrid Local Search Framework for the Dynamic Capacitated Arc Routing Problem | Hao Tong and Leandro L. Minku (University of Birmingham), Stefan Menzel and Bernhard Sendhoff (HRI-EU), and Xin Yao (Southern University of Science and Technology) |
| CS | Designing Fitness Functions for Odour Source Localisation | João Macedo, Lino Marques, and Ernesto Costa (University of Coimbra) |
| EML | An Evolutionary Approach to Interpretable Learning | Jake Robertson and Ting Hu (Queen's University) |
| GECH | Empirical Study of Correlations in the Fitness Landscapes of Combinatorial Optimization Problems | Longfei Zhang (University of Electronic Science and Technology of China), Ke Li (University of Exeter), and Shi Gu (University of Electronic Science and Technology of China) |
| CS | Promoting Reproductive Isolation Through Diversity in On-line Collective Robotics | Amine Boumaza (Université de Lorraine / LORIA) |
| Theory | On the Effectiveness of Restarting Local Search | Aldeida Aleti and Mark Wallace (Monash University) and Markus Wagner (The University of Adelaide) |
| CS | Reinforcement Learning with Rare Significant Events: Direct Policy Search vs. Gradient Policy Search | Paul Ecoffet and Nicolas Fontbonne (Sorbonne Université, CNRS); Jean-Baptiste André (ENS Ulm, CNRS); and Nicolas Bredeche (Sorbonne Université, CNRS) |
| RWA | Unit-aware Multi-objective Genetic Programming for the Prediction of the Stokes Flow around a Sphere | Heiner Zille, Fabien Evrard, Sanaz Mostaghim, and Berend van Wachem (Otto von Guericke University Magdeburg) |
| NE | Growth and Evolution of Deep Neural Networks from Gene Regulatory Networks | Colin Flynn, Mohammed Bennamoun, and Farid Boussaid (University of Western Australia) |
| RWA | Towards Higher Order Fairness Functionals for Smooth Path Planning | Victor Parque (Waseda University) |
| EMO | Dynamic Adaptation of Decomposition Vector Set Size for MOEA/D | Yuta Kobayashi, Claus Aranha, and Tetsuya Sakurai (University of Tsukuba) |
| CS | Comparing lifetime learning methods for morphologically evolving robots | Fuda van Diggelen, Guszti Eiben, and Eliseo Ferrante (VU University Amsterdam) |
| RWA | Selecting Miners within Blockchain-based Systems Using Evolutionary Algorithms for Energy Optimisation | Akram Alofi (University of Birmingham, Umm Al-Qura University); Mahmoud Bokhari (Taibah University, The University of Adelaide); and Robert Hendley and Rami Bahsoon (University of Birmingham) |
| EML | Adaptive Multi-Fitness Learning for Robust Coordination | Connor Yates, Ayhan Alp Aydeniz, and Kagan Tumer (Oregon State University) |
| EML | Improved Evolution of Generative Adversarial Networks | Victor Costa, Nuno Lourenço, João Correia, and Penousal Machado (University of Coimbra) |
| ENUM | Setup Of Fuzzy Hybrid Particle Swarms: A Heuristic Approach | Nicolas Georges Roy (University of Namur, Cenaero); Charlotte Beauthier (Cenaero); and Timotéo Carletti and Alexandre Mayer (University of Namur) |
| ENUM | A Empirical Study of Cooperative Frequency in Cooperative Co-evolution | Ling-Yu Li and Wen-Jie Ou (South China University of Technology), Xiao-Min Hu (Guangdong University of Technology), and Wei-Neng Chen and An Song (South China University of Technology) |
| ENUM | A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems | Urban Škvorc (Jožef Stefan Institute, Jožef Stefan International Postgraduate School) and Tome Eftimov and Peter Korošec (Jožef Stefan Institute) |
| ACO-SI | Partial-ACO as a GA Mutation Operator Applied to TSP Instances | Darren M. Chitty (Aston University) |
| GP | Linear-dependent Multi-interpretation Neuro-Encoded Expression Programming | Jun Ma, Fenghui Gao, Shuangrong Liu, and Lin Wang (University of Jinan) |
| RWA | ARCH-Elites: Quality-Diversity for Urban Design | Theodoros Galanos and Antonios Liapis (University of Malta); Georgios N. Yannakakis (University of Malta, Technical University of Crete); and Reinhard Koenig (Bauhaus-University Weimar, AIT Austrian Institute of Technology) |
| ECOM | A Grouping Genetic Algorithm for the Unrelated Parallel-Machine Scheduling Problem | Octavio Ramos-Figueroa and Marcela Quiroz-Castellanos (Universidad Veracruzana) |
| EML | Adopting Lexicase Selection for Michigan-Style Learning Classifier Systems with Continuous-Valued Inputs | Alexander R. M. Wagner and Anthony Stein (University of Hohenheim) |
| NE | A Coevolutionary Approach to Deep Multi-Agent Reinforcement Learning | Daan Klijn and Guszti Eiben (VU University Amsterdam) |
| EML | EvolMusic: Towards Musical Adversarial Examples for Black-Box Attacks on Speech-To-Text | Mariele Motta (neurocat GmbH), Tanja Hagemann and Sebastian Fischer (Telekom Innovation Laboratories), and Felix Assion (neurocat GmbH) |
| GECH | A Crossover That Matches Diverse Parents Together in Evolutionary Algorithms | Maciej Świechowski (QED Software; Faculty of Mathematics and Information Sciences, Warsaw University of Technology) |
| ACO-SI | Ant Colony Optimization for Energy-Efficient Train Operations | Federico Naldini (Alma Mater Studiorum - Università di Bologna) and Paola Pellegrini and Joaquin Rodrigurez (Université Gustave Eiffel) |
| ECOM | Linear representation of categorical values | Arnaud Berny (Independent researcher) |
| GECH | Elo-based Similar-Strength Opponent Sampling for Multiobjective Competitive Coevolution | Sean N. Harris and Daniel R. Tauritz (Auburn University) |
| RWA | Optimising Pheromone Communication in a UAV Swarm | Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, and Pascal Bouvry (University of Luxembourg) |
| RWA | Wastewater Systems Planned Maintenance Scheduling Using Multi-Objective Optimisation | Sabrina Draude and Edward Keedwell (University of Exeter); Rebecca Hiscock (Welsh Water); and Zoran Kapelan (University of Exeter, Delft University of Technology) |
| NE | On the Exploitation of Neuroevolutionary Information | Unai Garciarena (University of the Basque Country), Nuno Lourenço and Penousal Machado (University of Coimbra), and Roberto Santana and Alexander Mendiburu (University of the Basque Country) |
| ECOM | Effective Recombination Operators for the family of Vehicle Routing Problems | Piotr Cybula (University of Lodz, Faculty of Mathematics and Computer Science; Emapa S.A.); Andrzej Jaszkiewicz (Poznan University of Technology, Faculty of Computing and Telecommunications,); Przemysław Pełka (Emapa S.A.); and Marek Rogalski and Piotr Sielski (University of Lodz, Faculty of Mathematics and Computer Science; Emapa S.A.) |
| NE | Modeling the Evolution of Retina Neural Network | Ziyi Gong and Paul Munro (University of Pittsburgh) |
| ENUM | Bridging Kriging Believer and Expected Improvement Using Bump Hunting for Expensive Black-box Optimization | Bing Wang, Hemant Kumar Singh, and Tapabrata Ray (University of New South Wales) |
| SBSE | Using Knowledge of Human-Generated Code to Bias the Search in Program Synthesis with Grammatical Evolution | Dirk Schweim (University of Mainz), Erik Hemberg (MIT), Dominik Sobania (University of Mainz), Una-May O'Reilly (MIT), and Franz Rothlauf (University of Mainz) |
| CS | Predicting soft robot’s locomotion fitness | Renata Biaggi Biazzi (Bioinformatics Graduate Program, University of Sao Paulo); André Fujita (University of Sao Paulo); and Daniel Yasumasa Takahashi (ICe - UFRN) |
| RWA | Evolving Potential Field Parameters For Deploying UAV-based Two-hop Wireless Mesh Networks | Rahul Dubey and Sushil J. Louis (University of Nevada Reno) |
| ECOM | Optimisation Algorithms for Parallel Machine Scheduling Problems with Setup Times | Fabian Kittel and Jannik Enenkel (Technische Hochschule Mittelhessen), Jana Holznigenkemper (Philipps-Universität Marburg), Neil Urquhart (Edinburgh Napier University), and Michael Guckert (Technische Hochschule Mittelhessen) |
| EMO | Labeling-Oriented Non-Dominated Sorting is $Theta(MN^3)$ | Sumit Mishra and Ved Prakash (Indian Institute of Information Technology Guwahati) and Maxim Buzdalov (ITMO University) |
| CS | On the use of feature-maps for improved quality-diversity meta-evolution | David Mark Bossens and Danesh Tarapore (University of Southampton) |
| CS | Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks | Kirby Steckel and Jacob Schrum (Southwestern University) |
| RWA | Optimizing the Parameters of A Physical Exercise Dose-Response Model: An Algorithmic Comparison | Mark Connor (University College Dublin, University of Suffolk) and Michael O'Neill (University College Dublin) |
| GECH | The Factory Must Grow: Automation in Factorio | Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, and Cedric Gondro (Michigan State University) |
| EML | Evo-RL: Evolutionary-Driven Reinforcement Learning | Ahmed Hallawa (RWTH Aachen University, University Hospital Aachen); Thorsten Born and Anke Schmeink (RWTH Aachen University); Guido Dartmann (University of Applied Sciences Trier); Arne Peine and Lukas Martin (University Hospital Aachen); Giovanni Iacca (University of Trento); A.E. Eiben (Vrije Universiteit Amsterdam); and Gerd Ascheid (RWTH Aachen University) |
| CS | Younger Is Better: A Simple and Efficient Selection Strategy for MAP-Elites | Alex Coninx and Stephane Doncieux (Sorbonne Universite; CNRS, ISIR) |
| ECOM | Continuous Encoding for Community Detection in Complex Networks | Wei Zheng, Yiqing Zhang, and Jianyong Sun (Xi'an Jiaotong University) |
| GECH | OPTION: OPTmization Algorithm Benchmarking ONtology | Ana Kostovska (Jozef Stefan Institute, Jozef Stefan International Postgraduate School); Diederick Vermetten (Leiden Institute for Advanced Computer Science); Carola Doerr (CNRS, Sorbonne University); Sašo Džeroski and Panče Panov (Jozef Stefan Institute, Jozef Stefan International Postgraduate School); and Tome Eftimov (Jozef Stefan Institute) |
| CS | How to Evolve a Neuron | Garrett Mitchener (College of Charleston) |
| NE | Evolving Reservoir Weights in the Frequency Domain | Sebastian Basterrech (VSB-Technical University of Ostrava) and Gerardo Rubino (Inria) |
| EMO | MOMPA: a high performance multi-objective optimizer based on marine predator algorithm. | Long Chen, Xuebing Cai, Kezhong Jin, and Zhenzhou Tang (Wenzhou University) |
| GECH | A Multimethod Approach to Multimodal Function Optimization | Fredrik Foss (Norwegian University of Science and Technology) and Ole Jakob Mengshoel (Norwegian University of Science and Technology, Carnegie Mellon University) |
| ECOM | The Optimal Filtering set Problem with Application to Surrogate Evaluation in Genetic Programming | Francisco J. Gil-Gala, María R. Sierra, Carlos Mencía, and Ramiro Varela (University of Oviedo) |
| EML | Growth and Harvest Induce Essential Dynamics in Neural Networks | Ilona Kulikovskikh (Samara University) and Tarzan Legović (Institute of Applied Ecology, Oikon Ltd.; Libertas International University) |
| RWA | Diagnosing Autonomous Vehicle Driving Criteria with an Adversarial Evolutionary Algorithm | Mark Coletti, Shang Gao, Spencer Paulissen, Quentin Haas, and Robert Patton (Oak Ridge National Laboratory) |
| EML | Misclassification Detection based on Conditional VAE for Rule Evolution in Learning Classifier System | Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, and Keiki Takadama (The University of Electro-Communications) |
| NE | A Transfer Learning Based Evolutionary Deep Learning Framework to Evolve Convolutional Neural Networks | Bin Wang, Bing Xue, and Mengjie Zhang (Victoria University of Wellington) |