- The review process is now over: 158 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.
List of Accepted Papers
| Track | Title | Authors |
|---|---|---|
| ECOM | A Biased Random Key Genetic Algorithm Applied to Target Set Selection in Viral Marketing | Albert López Serrano (Artificial Intelligence Research Institute (IIIA-CSIC)), Christian Blum (Artificial Intelligence Research Institute (IIIA-CSIC)) |
| EMO | A Bounded Archive Based for Bi-objective Problems based on Distance and epsilon-dominance to avoid Cyclic Behavior | Oliver Schuetze (CINVESTAV-IPN), Carlos Hernandez (IIMAS-UNAM) |
| EMO | A Classification-Assisted Level-based Learning Evolutionary Algorithm for Expensive Multiobjective Optimization Problems | Zhuo Liu (South China University of Technology), Xiaolin Xiao (South China University of Technology), Feng-Feng Wei (South China University of Technology), Wei-Neng Chen (South China University of Technology) |
| ENUM | A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes | Moritz Seiler (University of Münster), Raphael Prager (University of Münster), Pascal Kerschke (TU Dresden), Heike Trautmann (University of Münster, University of Twente) |
| RWA | A Multi-objective Evolutionary Algorithm with New Reproduction and Decomposition Mechanisms for the Multi-Point Dynamic Aggregation Problem | Guanqiang Gao (Beijing Institute of Technology), Bin Xin (Beijing Institute of Technology), Yi Mei (Victoria University of Wellington), Shengyu Lu (Beijing Institute of Technology), Shuxin Ding (China Academy of Railway Sciences Corporation) |
| ACO-SI | A new Ant Colony Optimization metaheuristic based on Pheromone guided Local Search instead of Constructive approach | Samia Sammoud (National School of Computer Science Manouba Tunisia), Inès Alaya (ENSI University of Manouba Tunisia) |
| EMO | A Two-phase Framework with a Bezier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization | Ryoji Tanabe (Yokohama National University, RIKEN AIP), Youhei Akimoto (University of Tsukuba, RIKEN AIP), Ken Kobayashi (Fujitsu Limited, RIKEN AIP), Hiroshi Umeki (Yokohama National University, RIKEN AIP), Shinichi Shirakawa (Yokohama National University, RIKEN AIP), Naoki Hamada (KLab Inc., RIKEN AIP) |
| EML | Absumption based on Overgenerality and Condition-Clustering based Specialization for XCS with Continuous-Valued Inputs | Hiroki Shiraishi (The University of Electro-Communications), Yohei Hayamizu (The State University of New York at Binghamton), Hiroyuki Sato (The University of Electro-Communications), Keiki Takadama (The University of Electro-Communications) |
| RWA | Adapting Novelty towards Generating Antigens for Antivirus systems | Ritwik Murali (Amrita Vishwa Vidyapeetham University), Shunmuga Velayutham C (Amrita Vishwa Vidyapeetham University) |
| RWA | Adaptive Objective Configuration in Bi-Objective Evolutionary Optimization for Cervical Cancer Brachytherapy Treatment Planning | Leah Dickhoff (Leiden University Medical Center), Ellen Kerkhof (Leiden University Medical Center), Heloisa Deuzeman (Leiden University Medical Center), Carien Creutzberg (Leiden University Medical Center), Tanja Alderliesten (Leiden University Medical Center), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
| CS | Adaptive Phototaxis of a Swarm of Mobile Robots using Positive and Negative Feedback Self-Alignment | Yoones Mirhosseini (Sorbonne Université, CNRS), Matan Yah Ben Zion (ESPCI Paris, PSL Research University; Tel Aviv University), Olivier Dauchot (ESPCI Paris, PSL Research University; CNRS), Nicolas Bredeche (Sorbonne Université, CNRS) |
| RWA | Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics | Aizaz Ul Haq (Rochester Institute of Technology), Niranjana Deshpande (Rochester Institute of Technology), AbdElRahman ElSaid (Univesity of Puerto Rico Mayagüez), Travis Desell (Rochester Institute of Technology), Daniel Krutz (Rochester Institute of Technology) |
| EMO | An Enhanced Adaptive Geometry Evolutionary Algorithm Using Stochastic Diversity Mechanism | Fodil Benali (Adwanted Group, University of Tours), Damien Bodénès (Adwanted Group), Cyril De Runz (University of Tours), Nicolas Labroche (University of Tours) |
| RWA | An Evolutionary Fragment-based Approach to Molecular Fingerprint Reconstruction | Tim Cofala (University of Oldenburg), Oliver Kramer (University of Oldenburg) |
| EMO | An Improved Pareto Front Modeling Algorithm for Large-scale Many-Objective Optimization | Annibale Panichella (Delft University of Technology) |
| Theory | Analysis of a Gray-Box Operator for Vertex Cover | Samuel Baguley (Hasso Plattner Institute), Tobias Friedrich (Hasso Plattner Institute), Timo Kötzing (Hasso Plattner Institute), Xiaoyue Li (Hasso Plattner Institute), Marcus Pappik (Hasso Plattner Institute), Ziena Zeif (Hasso Plattner Institute) |
| RWA | Analyzing Multi-Agent Reinforcement Learning and Coevolution in Cybersecurity | Matthew Turner (MIT), Erik Hemberg (MIT), Una-May O'Reilly (MIT) |
| GECH | Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms | Diederick Vermetten (Leiden University), Hao Wang (Leiden University), Carola Doerr (Sorbonne Université), Manuel López-Ibáñez (University of Málaga), Thomas Bäck (Leiden University) |
| NE | Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning | Bryon Tjanaka (University of Southern California), Matthew Fontaine (University of Southern California), Julian Togelius (New York University), Stefanos Nikolaidis (University of Southern California) |
| GECH | Are Evolutionary Algorithms Safe Optimizers? | Youngmin Kim (University of Manchester), Richard Allmendinger (University of Manchester), Manuel López-Ibáñez (University of Manchester, University of Málaga) |
| EML | Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning | David Howard (CSIRO), Humphrey Munn (University of Queensland), Davide Dolcetti (Queensland Univeristy of Technology), Joshua Kannemeyer (Monash University), Nicole Robinson (Monash University) |
| RWA | Automated Algorithm Selection for Radar Network Configuration | Quentin Renau (Thales Research & Technology), Johann Dreo (Institut Pasteur), Alain Peres (Thales Land & Air Systems), Yann Semet (Thales Research & Technology), Carola Doerr (CNRS), Benjamin Doerr (Ecole Polytechnique) |
| GP | Automated Grammar-based Feature Selection in Symbolic Regression | Muhammad Sarmad Ali (University of Limerick), Meghana Kshirsagar (University of Limerick), Enrique Naredo (University of Limerick), Conor Ryan (University of Limerick) |
| EMO | Better Approximation Guarantees for the NSGA-II by Using the Current Crowding Distance | Weijie Zheng (Southern University of Science and Technology), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
| GECH | Black-Box Min--Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation | Atsuhiro Miyagi (Taisei Corporation, University of Tsukuba), Kazuto Fukuchi (University of Tsukuba), Jun Sakuma (University of Tsukuba), Youhei Akimoto (University of Tsukuba) |
| GECH | Boomerang-shaped Neural Embeddings for NK Landscapes | Roberto Santana (University of the Basque Country), Arnaud Liefooghe (Université de Lille, Inria Lille - Nord Europe), Bilel Derbel (Université de Lille, Inria Lille - Nord Europe) |
| RWA | Bug Report Summarization using Multi-View Multi-Objective Optimization Framework | Santosh Mishra (Indian Institute Of Technology Patna), Kundarapu Harshavardhan (Indian Institute Of Technology Patna), Sayantan Mitra (Indian Institute Of Technology Patna), Sriparna Saha (Indian Institute Of Technology Patna), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay) |
| EML | Can the Same Rule Representation Change its Matching Area? Enhancing Representation in XCS for Continuous Space by Probability Distribution in Multiple Dimension | Hiroki Shiraishi (The University of Electro-Communications), Yohei Hayamizu (The State University of New York at Binghamton), Hiroyuki Sato (The University of Electro-Communications), Keiki Takadama (The University of Electro-Communications) |
| GP | Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming | Dominik Sobania (Johannes Gutenberg University), Martin Briesch (Johannes Gutenberg University), Franz Rothlauf (Johannes Gutenberg University) |
| ENUM | CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization | Ryoki Hamano (Yokohama National University), Shota Saito (Yokohama National University; SkillUp AI Co., Ltd.), Masahiro Nomura (CyberAgent, Inc.), Shinichi Shirakawa (Yokohama National University) |
| GP | Co-evolutionary Probabilistic Structured Grammatical Evolution | Jessica Mégane (University of Coimbra), Nuno Lourenço (University of Coimbra), Penousal Machado (University of Coimbra) |
| EML | Coevolutionary Generative Adversarial Networks for Medical Image Augumentation at Scale | Diana Flores (Massachusetts Institute of Technology), Erik Hemberg (Massachusetts Institute of Technology), Jamal Toutouh (University of Málaga), Una-May O'Reily (Massachusetts Institute of Technology) |
| GECH | Coevolutionary Pareto Diversity Optimization | Aneta Neumann (The University of Adelaide), Denis Antipov (ITMO University), Frank Neumann (The University of Adelaide) |
| GP | Comparing Optimistic and Pessimistic Constraint Evaluation in Shape-constrained Symbolic Regression | Christian Haider (University of Applied Sciences Upper Austria: FH Oberosterreich), Fabricio De França (Federal University of ABC), Gabriel Kronberger (University of Applied Sciences Upper Austria: FH Oberosterreich), Bogdan Burlacu (University of Applied Sciences Upper Austria: FH Oberosterreich) |
| EMO | Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems | Yuri Lavinas (University of Tsukuba), Marcelo Ladeira (University of Brasilia), Gabriela Ochoa (University of Stirling), Claus Aranha (University of Tsukuba) |
| EMO | Cost-vs-Accuracy of Sampling in Multi-objective Combinatorial Exploratory Landscape Analysis | Raphaël Cosson (Université de Lille, Inria Lille - Nord Europe), Bilel Derbel (Université de Lille, Inria Lille - Nord Europe), Arnaud Liefooghe (Université de Lille, Inria Lille - Nord Europe), Sébastien Verel (ULCO), Hernan Aguirre (Shinshu University), Zhang Qingfu (City University of Hong Kong), Kiyoshi Tanaka (Shinshu University) |
| Theory | Crossover for Cardinality Constrained Optimization | Tobias Friedrich (Hasso Plattner Institute, University of Potsdam), Timo Kötzing (Hasso Plattner Institute, University of Potsdam), Aishwarya Radhakrishnan (Hasso Plattner Institute, University of Potsdam), Leon Schiller (Hasso Plattner Institute, University of Potsdam), Martin Schirneck (Hasso Plattner Institute, University of Potsdam), Georg Tennigkeit (Hasso Plattner Institute, University of Potsdam), Simon Wietheger (Hasso Plattner Institute, University of Potsdam) |
| CS | Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding | Yulun Zhang (University of Southern California), Matthew Fontaine (University of Southern California), Amy Hoover (New Jersey Institute of Technology), Stefanos Nikolaidis (University of Southern California) |
| RWA | Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation | Diksha Goel (University of Adelaide), Max Ward-Graham (Harvard University, University of Adelaide), Aneta Neumann (University of Adelaide), Frank Neumann (University of Adelaide), Hung Nguyen (University of Adelaide), Mingyu Guo (University of Adelaide) |
| EML | DiBB: Distributing Black-Box Optimization | Giuseppe Cuccu (University of Fribourg), Luca Rolshoven (University of Fribourg), Fabien Vorpe (University of Fribourg), Philippe Cudré-Mauroux (University of Fribourg), Tobias Glasmachers (Ruhr-University Bochum) |
| EML | Diversifying behaviors for learning in Asymmetric Multiagent Systems | Gaurav Dixit (Oregon State University), Everardo Gonzalez (Oregon State University), Kagan Tumer (Oregon State University) |
| NE | Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization | Thomas Pierrot (InstaDeep), Valentin Macé (InstaDeep), Felix Chalumeau (InstaDeep), Arthur Flajolet (InstaDeep), Geoffrey Cideron (InstaDeep), Karim Beguir (InstaDeep), Antoine Cully (Imperial College), Olivier Sigaud (Sorbonne Université), Nicolas Perrin-Gilbert (CNRS, Sorbonne Université) |
| ECOM | DRILS Revisited: On the Combination of Perturbation with Graybox Optimization Techniques | Lorenzo Canonne (Inria Lille - Nord Europe, Université de Lille), Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe) |
| NE | Dynamics-Aware Novelty Search With Behavior Repulsion | Kang Xu (Fudan University), Yan Ma (Fudan University), Wei Li (Fudan University, Ji Hua Laboratory) |
| GA | Effective Mutation Rate Adaptation through Group Elite Selection | Akarsh Kumar (The University of Texas at Austin), Bo Liu (The University of Texas at Austin), Risto Miikkulainen (The University of Texas at Austin, Cognizant AI Labs), Peter Stone (The University of Texas at Austin, Sony AI) |
| RWA | Effects of Imputation Strategy on Genetic Algorithms and Neural Networks on a Binary Classification Problem | Esteban Segarra Martinez (University of Central Florida), Stephen Maldonado (University of Central Florida), Annie Wu (University of Central Florida), Ryan McMahan (University of Central Florida), Xinliang Liu (Lehigh University), Blake Oakley (University of Central Florida) |
| ECOM | Efficient Heuristics and Metaheuristics for the Unrelated Parallel Machine Scheduling Problem With Release Dates and Setup Times | Mohamed Elamine Athmani (University of Technology of Troyes), Taha Arbaoui (University of Technology of Troyes), Younes Mimene (École nationale Supérieure d'Informatique, University of Technology of Troyes), Farouk Yalaoui (University of Technology of Troyes) |
| RWA | Environment Driven Dynamic Decomposition for Cooperative Co-evolution of Multi-Agent Systems | Luke Kelly (Edith Cowan University), Martin Masek (Edith Cowan University), Chiou Peng Lam (Edith Cowan University) |
| ACO-SI | Environment induced emergence of collective behaviour in evolving swarms with limited sensing | Fuda van Diggelen (VU University Amsterdam, TII Technology Innovation Institute), Tugay Alperen Karagüzel (VU University Amsterdam, TII Technology Innovation Institute), Jie Luo (VU University Amsterdam), Eliseo Ferrante (VU University Amsterdam, TII Technology Innovation Institute), Nicolas Cambier (VU University Amsterdam), A.E. Eiben (VU University Amsterdam) |
| RWA | EvoIsland: Interactive Evolution via an Island-Inspired Spatial User Interface Framework | Alexander Ivanov (University of Calgary), Wesley Willett (University of Calgary), Christian Jacob (University of Calgary) |
| RWA | Evolutionary Bi-objective Optimization for the Electric Vehicle Charging Stand Infrastructure Problem | Rolando Armas (Yachay Tech University), Hernan Aguirre (Shinshu University), Daniel Orellana (Universidad de Cuenca) |
| GA | Evolutionary Diversity Optimisation for The Traveling Thief Problem | Adel Nikfarjam (The University of Adelaide), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide) |
| EML | Evolutionary Feature Selection: A Novel Wrapper Feature Selection Architecture Based on Evolutionary Strategies | Aaryan Dubey (CloudWalk, inc.), Alexandre Inoue (CloudWalk, inc.), Pedro Birmann (CloudWalk, inc.), Sammuel Silva (CloudWalk, inc.) |
| NE | Evolutionary Neural Cascade Search across Supernetworks | Alexander Chebykin (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University Medical Center), Peter Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| GP | Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression | Dazhuang Liu (Centrum Wiskunde & Informatica (CWI), Delft University of Technology), Marco Virgolin (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University Medical Center), Peter Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| RWA | Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions | Claude Carlet (University of Bergen), Marko Djurasevic (University of Zagreb), Domagoj Jakobovic (University of Zagreb), Luca Mariot (Radboud University), Stjepan Picek (Radboud University) |
| GP | Evolving Generalizable Multigrid-Based Helmholtz Preconditioners with Grammar-Guided Genetic Programming | Jonas Schmitt (University of Erlangen-Nuremberg), Harald Köstler (University of Erlangen-Nuremberg) |
| ECOM | Evolving Labelings of Graceful Graphs | Luke Branson (University of Minnesota), Andrew Sutton (University of Minnesota Duluth) |
| CS | Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention | Federico Pigozzi (DIA, University of Trieste, Italy), Yujin Tang (Google Brain), Eric Medvet (DIA, University of Trieste, Italy), David Ha (Google Brain) |
| CS | Evolving Programmable Computational Metamaterials | Atoosa Parsa (University of Vermont), Dong Wang (Yale University), Corey O'Hern (Yale University), Mark Shattuck (City College of New York), Rebecca Kramer-Bottiglio (Yale University), Josh Bongard (University of Vermont) |
| EML | Evolving Transferable Neural Pruning Functions | Yuchen Liu (Princeton University), Sun-Yuan Kung (Princeton University), David Wentzlaff (Princeton University) |
| CS | EvoRobogami: Co-designing with Humans in Evolutionary Robotics Experiments | Huang Zonghao (University of Pennsylvania), Quinn Wu (University of Pennsylvania), David Howard (CSIRO), Cynthia Sung (University of Pennsylvania) |
| GECH | Expensive Optimization with Production-Graph Resource Constraints: A First Look at a New Problem Class | Stefan Pricopie (University of Manchester), Richard Allmendinger (University of Manchester), Manuel López-Ibáñez (University of Manchester), Clyde Fare (IBM), Matt Benatan (Sonos), Joshua Knowles (University of Manchester) |
| GP | Exploring Hidden Semantics in Neural Networks with Symbolic Regression | Yuanzhen Luo (China University of Petroleum), Qiang Lu (China University of Petroleum), Xilei Hu (China University of Petroleum), Jake Luo (University of Wisconsin Milwaukee), Zhiguang Wang (China University of Petroleum) |
| ECOM | Exploring the Feature Space of TSP Instances Using Quality Diversity | Jakob Bossek (University of Münster), Frank Neumann (The University of Adelaide) |
| Theory | Fast Non-elitist Evolutionary Algorithms with Power-law Ranking Selection | Duc-Cuong Dang (University of Passau, University of Southampton), Anton Eremeev (Sobolev Institute of Mathematics SB RAS), Per Kristian Lehre (University of Birmingham, The Alan Turing Institute), Xiaoyu Qin (University of Birmingham) |
| EML | Fitness Shaping For Multiple Teams | Joshua Cook (Oregon State University), Kagan Tumer (Oregon State University) |
| GP | Functional Code Building Genetic Programming | Edward Pantridge (Swoop), Thomas Helmuth (Hamilton College), Lee Spector (Amherst College, University of Massachusetts Amherst) |
| RWA | Genetic Algorithm for Qubits Initialisation in Noisy Intermediate-Scale Quantum Machines: The IBM Case Study | Zakaria Abdelmoiz Dahi (University of Málaga, University of Constantine 2), Francisco Chicano (University of Málaga), Gabriel Luque (University of Málaga), Enrique Alba (University of Málaga) |
| GP | Genetic Programming for Structural Similarity Design at Multiple Spatial Scales | Illya Bakurov (Universidade Nova de Lisboa), Marco Buzzelli (University of Milano - Bicocca), Mauro Castelli (Universidade Nova de Lisboa), Raimondo Schettini (University of Milano - Bicocca), Leonardo Vanneschi (Universidade Nova de Lisboa) |
| GA | GPU-Accelerated Parallel Gene-Pool Optimal Mixing in a Gray-Box Optimization Setting | Anton Bouter (Centrum Wiskunde & Informatica (CWI)), Peter Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| GP | Graph-based Linear Genetic Programming: A Case Study of Dynamic Scheduling | Zhixing Huang (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Fangfang Zhang (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| ECOM | Guided Local Search with an Adaptive Neighbourhood Size Heuristic for Large Scale Vehicle Routing Problems | Joao Guilherme Cavalcanti Costa (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| GECH | Guiding Surrogate-Assisted Multi-Objective Optimisation With Decision Maker Preferences | Finley Gibson (University of Exeter), Richard Everson (University of Exeter), Jonathan Fieldsend (University of Exeter) |
| GECH | Hard Problems are Easier for Success-based Parameter Control | Mario Hevia Fajardo (The University of Sheffield), Dirk Sudholt (The University of Passau) |
| CS | Hierarchical Quality-Diversity for Online Damage Recovery | Maxime Allard (Imperial College), Simón Smith (Imperial College), Konstantinos Chatzilygeroudis (University of Patras), Antoine Cully (Imperial College) |
| GECH | High Performance Evolutionary Computation with Tensor-based Acceleration | Jonatan Kłosko (AGH University of Science and Technology), Mateusz Benecki (AGH University of Science and Technology), Grzegorz Wcisło (AGH University of Science and Technology), Jacek Dajda (AGH University of Science and Technology), Wojciech Turek (AGH University of Science and Technology) |
| RWA | High-performance Evolutionary Algorithms For Online Neuronal Control | Binxu Wang (Harvard Medical School, Washington University in St Louis), Carlos Ponce (Harvard Medical School) |
| CS | Hybridizing Bio-Inspired Strategies with Infotaxis through Genetic Programming | João Macedo (University of Coimbra), Lino Marques (University of Coimbra), Ernesto Costa (University of Coimbra) |
| EML | Hyperparameter Tuning in Echo State Networks | Filip Matzner (Charles University) |
| RWA | Identifying the source of an epidemic using particle swarm optimization | John MaGee (Purdue University), Viplove Arora (SISSA), Mario Ventresca (Purdue University) |
| CS | Illuminating Diverse Neural Cellular Automata for Level Generation | Sam Earle (New York University), Justin Snider (New York University), Matthew Fontaine (University of Southern California), Stefanos Nikolaidis (University of Southern California), Julian Togelius (New York University) |
| ECOM | Improved Regression Models for Algorithm Configuration | Marcelo de Souza (Universidade do Estado de Santa Catarina, Universidade Federal do Rio Grande do Sul), Marcus Ritt (Universidade Federal do Rio Grande do Sul) |
| GECH | Improving LSHADE by means of a pre-screening mechanism | Mateusz Zaborski (Faculty of Mathematics and Information Science, Warsaw University of Technology), Jacek Mańdziuk (Faculty of Mathematics and Information Science, Warsaw University of Technology) |
| SBSE | Improving Source-Code Representations to Enhance Search-based Software Repair | Pemma Reiter (Arizona State University), Antonio Espinoza (Arizona State University), Ruoyu "Fish" Wang (Arizona State University), Adam Doupe (Arizona State University), Westley Weimer (University of Michigan), Stephanie Forrest (Arizona State University) |
| SBSE | Is the Revisited Hypervolume an Appropriate Quality Indicator to Evaluate Multi-Objective Test Case Selection Algorithms? | Aitor Arrieta (Mondragon University) |
| ECOM | Iterated Local Search with Perturbation based on Variables Interaction for Pseudo-Boolean Optimization | Renato Tinós (University of São Paulo), Michal Przewozniczek (Wroclaw University of Science and Technology), Darrell Whitley (Colorado State University) |
| ENUM | Learning Rate Adaptation by Line Search in Evolution Strategies with Recombination | Armand Gissler (École Polytechnique, Inria Saclay–Île-de-France), Anne Auger (Inria, École Polytechnique), Nikolaus Hansen (Inria, École Polytechnique) |
| RWA | Learning the Characteristics of Engineering Optimization Problems with Applications in Automotive Crash | Fu Xing Long (BMW Group), Bas van Stein (Leiden University), Moritz Frenzel (BMW Group), Peter Krause (divis intelligent solutions GmbH), Markus Gitterle (Munich University of Applied Sciences), Thomas Bäck (Leiden University) |
| CS | Learning to Walk Autonomously via Reset-Free Quality-Diversity | Bryan Lim (Imperial College London), Alexander Reichenbach (Imperial College London), Antoine Cully (Imperial College London) |
| GP | Lexi²: Lexicase Selection with Lexicographic Parsimony Pressure | Allan de Lima (University of Limerick), Samuel Carvalho (Technological University of the Shannon: Midlands Midwest), Douglas Dias (University of Limerick), Enrique Naredo (University of Limerick), Joseph Sullivan (Technological University of the Shannon: Midlands Midwest), Conor Ryan (University of Limerick) |
| GA | Local Optima Organize into Lattices Under Recombination; An example using the Traveling Salesman Problem | L. Darrell Whitley (Colorado State University), Gabriela Ochoa (Stirling University) |
| ECOM | Local Ranking Explanation for Genetic Programming Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems | Shaolin Wang (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| GA | LUCIE: An Evaluation and Selection Method for Stochastic Problems | Erwan Lecarpentier (IRT Saint Exupéry), Paul Templier (ISAE-Supaero, University of Toulouse), Emmanuel Rachelson (ISAE-Supaero, University of Toulouse), Dennis Wilson (ISAE-Supaero, University of Toulouse) |
| GECH | MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation | George De Ath (University of Exeter), Tinkle Chugh (University of Exeter), Alma Rahat (Swansea University) |
| GP | Measuring Failed Disruption Propagation in Genetic Programming | william langdon (ucl), Afnan Al-Subaihin (ucl), David Clark (ucl) |
| ACO-SI | Measuring Optimiser Performance on a Conical Barrier Tree Benchmark | Itshak Tkach (Goldsmiths, University of London), Tim Blackwell (Goldsmiths, University of London) |
| ECOM | Metaheuristic Algorithms for the Bus Driver Scheduling Problem with Complex Break Constraints | Lucas Kletzander (Vienna University of Technology), Tommaso Mannelli Mazzoli (Vienna University of Technology), Nysret Musliu (Vienna University of Technology) |
| CS | Minimal Neural Network Models for Permutation Invariant Agents | Joachim Pedersen (IT University of Copenhagen), Sebastian Risi (IT University of Copenhagen) |
| EMO | MOLE: Digging Tunnels Through Multimodal Multi-Objective Landscapes | Lennart Schäpermeier (TU Dresden), Christian Grimme (University of Münster), Pascal Kerschke (TU Dresden) |
| Theory | Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function | Youhei Akimoto (University of Tsukuba, RIKEN Center for Advanced Intelligence Project) |
| EML | Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models | Evi Sijben (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University Medical Center), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
| EML | Multi-objective Framework for Quantile Forecasting in Financial Time Series Using Transformers | Samuel López-Ruiz (IIMAS-UNAM), Katya Rodríguez-Vázquez (IIMAS-UNAM), Carlos Ignacio Hernández Castellanos (IIMAS-UNAM) |
| SBSE | Multi-Objective Metamorphic Follow-up Test Case Selection for Deep Learning Systems | Aitor Arrieta (Mondragon University) |
| EMO | Multi-objective NK Landscapes with Heterogeneous Objectives | Raphael Cosson (Université de Lille), Roberto Santana (University of the Basque Country), Bilel Derbel (Université de Lille, Inria Lille - Nord Europe), Arnaud Liefooghe (Université de Lille, Inria Lille - Nord Europe) |
| CS | Multi-Objective Quality Diversity Optimization | Thomas Pierrot (Instadeep), Guillaume Richard (Instadeep), Karim Beguir (Instadeep), Antoine Cully (Imperial College) |
| EMO | Multi-objective QUBO Solver: Bi-objective Quadratic Assignment Problem | Mayowa Ayodele (Fujitsu Research of Europe), Richard Allmendinger (The University of Manchester), Manuel López-Ibáñez (The University of Manchester, University of Malaga), Matthieu Parizy (Fujitsu Research Limited) |
| EMO | Multi-Point Acquisition Function for Constraint Parallel Efficient Multi-Objective Optimization | Roy de Winter (Leiden Institute of Advanced Computer Science, C-Job Naval Architects), Bas van Stein (Leiden Institute of Advanced Computer Science), Thomas Bäck (Leiden Institute of Advanced Computer Science) |
| SBSE | Mutation-Based Test Generation for Quantum Programs with Multi-Objective Search | Xinyi Wang (Nanjing University of Aeronautics and Astronautics), Tongxuan Yu (Nanjing University of Aeronautics and Astronautics), Paolo Arcaini (National Institute of Informatics), Tao Yue (Nanjing University of Aeronautics and Astronautics, Simula Research Laboratory), Shaukat Ali (Simula Research Laboratory) |
| ECOM | Negative Learning Ant Colony Optimization for Network Alignment | Guillem Rodríguez Corominas (Artificial Intelligence Research Institute (IIIA-CSIC)), Christian Blum (Artificial Intelligence Research Institute (IIIA-CSIC)), Maria J. Blesa (Universitat Politècnica de Catalunya - BarcelonaTech) |
| NE | Neural Architecture Search Using Progressive Evolution | Nilotpal Sinha (National Yang Ming Chiao Tung University), Kuan-Wen Chen (National Yang Ming Chiao Tung University) |
| NE | Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization | Santiago Miret (Intel Corporation), Vui Seng Chua (Intel Corporation), Mattias Marder (Intel Corporation), Mariano Phielipp (Intel Corporation), Nilesh Jain (Intel Corporation), Somdeb Majumdar (Intel Corporation) |
| GA | Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem | Anh Do (The University of Adelaide), Mingyu Guo (The University of Adelaide), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide) |
| GP | Novel ensemble collaboration method for dynamic scheduling problems | Marko Đurasević (University of Zagreb, Faculty of Electrical Engineering and Computing), Lucija Planinić (University of Zagreb, Faculty of Electrical Engineering and Computing), Francisco Javier Gil Gala (University of Oviedo), Domagoj Jakobović (University of Zagreb, Faculty of Electrical Engineering and Computing) |
| ECOM | On Funnel Depths and Acceptance Criteria in Stochastic Local Search | Sarah Thomson (University of Stirling), Gabriela Ochoa (University of Stirling) |
| EML | On genetic programming representations and fitness functions for interpretable dimensionality reduction | Thomas Uriot (Leiden University Medical Centre), Marco Virgolin (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University Medical Centre), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
| GECH | On Optimal Static and Dynamic Parameter Choices for Fixed-Target Optimization | Dmitry Vinokurov (ITMO University), Maxim Buzdalov (ITMO University) |
| ECOM | On the Use of Quality Diversity Algorithms for The Traveling Thief Problem | Adel Nikfarjam (The Univeristy of Adelaide), Aneta Neumann (The Univeristy of Adelaide), Frank Neumann (The Univeristy of Adelaide) |
| ECOM | On turning Black- into Dark Gray-optimization with the Direct Empirical Linkage Discovery and Partition Crossover | Michal Przewozniczek (Wroclaw University of Science and Technology), Renato Tinós (University of São Paulo), Bartosz Frej (Wroclaw University of Science and Technology), Marcin Komarnicki (Wroclaw University of Science and Technology) |
| RWA | Optimising Autonomous Robot Swarm Parameters for Stable Formation Design | Daniel Stolfi (University of Luxembourg), Grégoire Danoy (University of Luxembourg) |
| EMO | Parallelization of Corner Sort with CUDA for Many-Objective Optimization | Vandana Bharti (Indian Institute of Technology BHU, Varanasi), Aryan Singhal (Indian Institute of Technology BHU, Varanasi), Anant Saxena (Indian Institute of Technology BHU, Varanasi), Bhaskar Biswas (Indian Institute of Technology BHU, Varanasi), Kaushal Kumar Shukla (Indian Institute of Technology BHU, Varanasi) |
| EML | Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS | Jordan Bishop (University of Queensland), Marcus Gallagher (University of Queensland), Will Browne (Queensland University of Technology) |
| ACO-SI | PLAN: A Leafcutter Ant Colony Optimization Algorithm for Ride-Hailing Services | Anoushka Alavilli (Tufts University), Mai Vu (Tufts University) |
| CS | Plasticity and Evolvability Under Environmental Variability: the Joint Role of Fitness-based Selection and Niche-limited Competition | Eleni Nisioti (Inria), Clément Moulin-Frier (Inria) |
| NE | PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search | Yameng Peng (RMIT University), Andy Song (RMIT University), Vic Ciesielski (RMIT University), Haytham Fayek (RMIT University), Xiaojun Chang (University of Technology Sydney) |
| NE | Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels | Michael Beukman (University of the Witwatersrand), Christopher Cleghorn (University of the Witwatersrand), Steven James (University of the Witwatersrand) |
| ACO-SI | Progressive Sampling Surrogate-Assisted Particle Swarm Optimization for Large-Scale Expensive Optimization | Hong-Rui Wang (South China University of Technology), Chun-Hua Chen (South China University of Technology), Yun Li (University of Electronic Science and Technology of China), Jun Zhang (Hanyang University), Zhi-Hui Zhan (South China University of Technology) |
| NE | RankNEAT: Outperforming Stochastic Gradient Search in Preference Learning Tasks | Kosmas Pinitas (University of Malta), Konstantinos Makantasis (University of Malta), Antonios Liapis (University of Malta), Georgios Yannakakis (University of Malta) |
| GA | Reducing the Cost of Partition Crossover on Large MAXSAT Problems: The PX-Preprocessor | Preston Dunton (Colorado State University), Darrell Whitley (Colorado State University) |
| EMO | Region of Interest Based Non-dominated Sorting Genetic Algorithm-II: An Invite and Conquer Approach | Manu Manuel (Technical University of Munich), Benjamin Hien (Technical University of Munich), Simon Conrady (Arnold & Richter Cine Technik), Arne Kreddig (SmartRay GmbH), Nguyen Anh Vu Doan (Fraunhofer IKS, Technical University of Munich), Walter Stechele (Technical University of Munich) |
| CS | Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms | Luca Grillotti (Imperial College), Antoine Cully (Imperial College) |
| EMO | Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems | Daniel Herring (University of Birmingham, University of Melbourne), Michael Kirley (University of Melbourne), Xin Yao (University of Birmingham) |
| RWA | RTune: A RocksDB Tuning System with Deep Genetic Algorithm | HUIJUN JIN (Yonsei University), Jieun Lee (Yonsei University), Sanghyun Park (Yonsei University) |
| Theory | Runtime Analysis of Competitive co-Evolutionary Algorithms for Maximin Optimisation of a Bilinear Function | Per Kristian Lehre (University of Birmingham, The Alan Turing Institute) |
| ENUM | SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison | Gjorgjina Cenikj (Jožef Stefan Institute), Ryan Lang (Computer Science Division, Stellenbosch University), Andries Engelbrecht (Department of Industrial Engineering, and Computer Science Division, Stellenbosch University), Carola Doerr (Sorbonne Université), Peter Korošec (Jožef Stefan Institute), Tome Eftimov (Jožef Stefan Institute) |
| Theory | Self-adaptation via Multi-objectivisation: A Theoretical Study | Per Kristian Lehre (University of Birmingham, The Alan Turing Institute), Xiaoyu Qin (University of Birmingham) |
| GA | Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) | Elliot Meyerson (Cognizant AI Labs), Xin Qiu (Cognizant AI Labs), Risto Miikkulainen (The University of Texas at Austin, Cognizant AI Labs) |
| Theory | Simulated Annealing is a Polynomial-Time Approximation Scheme for the Minimum Spanning Tree Problem | Benjamin Doerr (École Polytechnique), Amirhossein Rajabi (Technical University of Denmark), Carsten Witt (Technical University of Denmark) |
| ACO-SI | Social Learning Particle Swarm Optimization with Two-surrogate Collaboration for Offline Data-driven Multiobjective Optimization | Qi-Te Yang (South China University of Technology), Zhi-Hui Zhan (South China University of Technology), Yun Li (University of Electronic Science and Technology of China), Jun Zhang (Hanyang University) |
| GA | Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA | Arthur Guijt (Centrum Wiskunde & Informatica (CWI)), Dirk Thierens (University of Utrecht), Tanja Alderliesten (Leiden University Medical Center), Peter Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| NE | Surrogate-Assisted Neuroevolution | Bryson Greenwood (SparkCognition), Tyler McDonnell (SparkCognition) |
| RWA | Swarm Led Tomographic Reconstruction | Mohammad Majid al-Rifaie (University of Greenwich), Tim Blackwell (Goldsmiths University) |
| GA | TAGA: A Transfer-based Black-box Adversarial Attack with Genetic Algorithms | Liang-Jung Huang (National Taiwan University), Tian-Li Yu (National Taiwan University) |
| GP | Taylor Genetic Programming for Symbolic Regression | Baihe He (China University of Petroleum), Qiang Lu (China University of Petroleum), Qingyun Yang (China University of Petroleum), Jake Luo (University of Wisconsin Milwaukee), Zhiguang Wang (China University of Petroleum) |
| EMO | The $(1+(lambda,lambda))$ Global SEMO Algorithm | Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Omar El Hadri (Ecole Polytechnique), Adrien Pinard (Ecole Polytechnique) |
| EML | The Bayesian Learning Classifier System: Implementation, Replicability, Comparison with XCSF | David Pätzel (University of Augsburg), Jörg Hähner (University of Augsburg) |
| Theory | The Compact Genetic Algorithm Struggles on Cliff Functions | Frank Neumann (The University of Adelaide), Dirk Sudholt (University of Passau), Carsten Witt (Technical University of Denmark) |
| ENUM | The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants | Ana Kostovska (Jožef Stefan Institute), Diederick Vermetten (Leiden Institute for Advanced Computer Science), Sašo Džeroski (Jožef Stefan Institute), Carola Doerr (Sorbonne Université, CNRS, LIP), Peter Korošec (Jožef Stefan Institute), Tome Eftimov (Jožef Stefan Institute) |
| GA | The Influence of Noise on Multi-Parent Crossover for an Island Model GA | Brahim Aboutaib (Université du Littoral Côte d'Opale, Mohammed V University), Andrew Sutton (University of Minnesota Duluth) |
| GECH | Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration | André Biedenkapp (University of Freiburg), Nguyen Dang (University of St Andrews), Martin Krejca (Sorbonne Université), Frank Hutter (University of Freiburg, Bosch Center for Artificial Intelligence), Carola Doerr (CNRS, Sorbonne Université) |
| Theory | Towards a Stronger Theory for Permutation-based Evolutionary Algorithms | Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Yassine Ghannane (Ecole Polytechnique), Marouane Ibn Brahim (Ecole Polytechnique) |
| RWA | Towards Explainable Real Estate Valuation via Evolutionary Algorithms | Sebastian Angrick (Hasso Plattner Institute), Ben Bals (Hasso Plattner Institute), Niko Hastrich (Hasso Plattner Institute), Maximilian Kleissl (Hasso Plattner Institute), Jonas Schmidt (Hasso Plattner Institute), Vanja Doskoč (Hasso Plattner Institute), Maximilian Katzmann (Hasso Plattner Institute), Louise Molitor (Hasso Plattner Institute), Tobias Friedrich (Hasso Plattner Institute) |
| GP | Transformation-Interaction-Rational Representation for Symbolic Regression | Fabricio de França (UFABC) |
| EML | Understanding AutoML Search Spaces with Local Optima Networks | Matheus Teixeira (Universidade Federal de Minas Gerais), Gisele Pappa (Universidade Federal de Minas Gerais) |
| ECOM | Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search | Ole Jakob Mengshoel (Norwegian University of Science and Technology), Eirik Flogard (Norwegian Labour Inspection Authority), Tong Yu (Carnegie Mellon University), Jon Riege (Boston Consulting Group) |
| EMO | Unsupervised Comment-based Multi-document Extractive Summarization | Vishal Roha (IIT Patna), NAVEEN SAINI (Dept. of CS, IIIT Lucknow), SRIPARNA SAHA (IIT Patna), JOSE MORENO (Université Toulouse III - Paul Sabatier) |
| GECH | Using Phylogenetic Analysis to Enhance Genetic Improvement | Penny Rainford (Lancaster University), Barry Porter (Lancaster University) |
| ECOM | What Makes The Dynamic Capacitated Arc Routing Problem Hard To Solve: Insights From Fitness Landscape Analysis | Hao Tong (University of Birmingham, Southern University of Science and Technology), Leandro Minku (University of Birmingham), Stefan Menzel (Honda Research Institute Europe GmbH), Bernhard Sendhoff (Honda Research Institute Europe GmbH), Xin Yao (Southern University of Science and Technology, University of Birmingham) |