- The review process is now over: 180 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 |
|---|---|---|
| Theory | Comma Selection Outperforms Plus Selection on OneMax with Randomly Planted Optima | Joost Jorritsma (TU Eindhoven), Johannes Lengler (ETH Zürich), Dirk Sudholt (University of Passau) |
| Theory | How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems | Mario Hevia Fajardo (University of Birmingham), Per Kristian Lehre (University of Birmingham) |
| ACO-SI | Region-based Evaluation Particle Swarm Optimization with Dual Solution Libraries for Real-time Traffic Signal Timing Optimization | Chi Zhang (South China University of Technology), Jian-Yu Li (South China University of Technology, Hanyang University), Chun-Hua Chen (South China University of Technology), Yun Li (University of Electronic Science and Technology of China), Zhi-Hui Zhan (South China University of Technology) |
| Theory | Analysis of (1+1) EA on LeadingOnes with Constraints | Tobias Friedrich (Hasso Plattner Institute, University of Potsdam), Timo Kötzing (Hasso Plattner Institute, University of Potsdam), Aneta Neumann (The University of Adelaide, School of Computer and Mathematical Sciences), Frank Neumann (The University of Adelaide, School of Computer and Mathematical Sciences), Aishwarya Radhakrishnan (Hasso Plattner Institute, University of Potsdam) |
| GP | HOTGP - Higher-Order Typed Genetic Programming | Matheus Fernandes (Universidade Federal do ABC), Fabrício de França (Universidade Federal do ABC), Emílio Francesquini (Universidade Federal do ABC) |
| ECOM | Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling | Luyao Zhu (Zhengzhou University), Fangfang Zhang (Victoria University of Wellington), Xiaodong Zhu (Zhengzhou University), Ke Chen (Zhengzhou University), Mengjie Zhang (Victoria University of Wellington) |
| Theory | Analysing Equilibrium States for Population Diversity | Johannes Lengler (ETH Zürich), Andre Opris (University of Passau), Dirk Sudholt (University of Passau) |
| NE | Learning to Act through Evolution of Neural Diversity in Random Neural Networks | Joachim Pedersen (IT University of Copenhagen), Sebastian Risi (IT University of Copenhagen) |
| GECH | How Well Does the Metropolis Algorithm Cope With Local Optima? | Benjamin Doerr (École Polytechnique), Taha El Ghazi El Houssaini (École Polytechnique), Amirhossein Rajabi (Technical University of Denmark), Carsten Witt (Technical University of Denmark) |
| GECH | Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt | Per Kristian Lehre (University of Birmingham), Mario Hevia Fajardo (University of Birmingham), Erik Hemberg (MIT), Una-May O'Reilly (MIT), Jamal Toutouh (University of Malaga) |
| RWA | Optimizing Dispatching Strategies for Semiconductor Manufacturing Facilities with Genetic Programming | Benjamin Kovács (University of Klagenfurt), Pierre Tassel (University of Klagenfurt), Martin Gebser (Alpen-Adria-Universität Klagenfurt, Graz Univerity of Technology) |
| EML | Leveraging Fitness Critics To Learn Robust Teamwork | Joshua Cook (Oregon State University), Kagan Tumer (Oregon State University), Tristan Scheiner (Rose-Hulman Institute of Technology) |
| ACO-SI | Variation Encoded Large-Scale Swarm Optimizers for Path Planning of Unmanned Aerial Vehicle | Tan-Lin Xiao (Nanjing University of Information Science and Technology), Qiang Yang (Nanjing University of Information Science and Technology), Xu-Dong Gao (Nanjing University of Information Science and Technology), Zhen-Yu Lu (Nanjing University of Information Science and Technology), Yuan-Yuan Ma (Henan Normal University), Sang-Woon Jeon (Hanyang University), Jun Zhang (Hanyang University) |
| Theory | Self-adaptation Can Help Evolutionary Algorithms Track Dynamic Optima | Per Kristian Lehre (University of Birmingham), Xiaoyu Qin (University of Birmingham) |
| EMO | Analysing the Robustness of NSGA-II under Noise | Duc-Cuong Dang (University of Passau), Andre Opris (University of Passau), Bahare Salehi (University of Passau, Shiraz University), Dirk Sudholt (University of Passau) |
| GA | Evolutionary Diversity Optimisation in Constructing Satisfying Assignments | Adel Nikfarjam (The University of Adelaide), Ralf Rothenberger (Hasso Plattner Institute), Frank Neumann (The University of Adelaide), Tobias Friedrich (Hasso Plattner Institute) |
| GP | Genetic programming for the vehicle routing problem with zone-based pricing | Francisco Javier Gil Gala (University of Oviedo), Sezin Afsar (University of Oviedo), Marko Durasevic (University of Zagreb), Juan Palacios (University of Oviedo), Murat Afsar (LIST3N, Université de Technologie de Troyes) |
| RWA | A Fast Multi-objective Evolutionary Approach for Designing Large-Scale Optical Mode Sorter | Annibale Panichella (Delft University of Technology), Giuseppe Di Domenico (attocube systems AG) |
| GP | Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? | Joe Harrison (Centrum Wiskunde & Informatica (CWI), Delft University of Technology), Marco Virgolin (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University), Peter Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| EMO | Adaptive Donor Selection Mixing for Multi-objective Optimization: an Enhanced Variant of MO-GOMEA | Hsu Chen Liao (National Taiwan University), Wen Zhong Fang (National Taiwan University), Tian Li Yu (National Taiwan University) |
| EML | Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks | Jamal Toutouh (University of Málaga, Massachusetts Institute of Technology), Subhash Nalluru (Massachusetts Institute of Technology), Erik Hemberg (Massachusetts Institute of Technology), Una-May O'Reilly (Massachusetts Institute of Technology) |
| GP | Probabilistic Lexicase Selection | Li Ding (University of Massachusetts Amherst), Edward Pantridge (Swoop), Lee Spector (Amherst College, University of Massachusetts Amherst) |
| GP | Grammar-guided Linear Genetic Programming for Dynamic Job Shop 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) |
| GA | Accelerating Evolution Through Gene Masking and Distributed Search | Hormoz Shahrzad (Cognizant, University of Texas at Austin), Risto Miikkulainen (Cognizant, University of Texas at Austin) |
| ECOM | On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem | Jakob Bossek (RWTH Aachen University), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide) |
| ACO-SI | Factored Particle Swarm Optimization for Policy Co-training in Reinforcement Learning | Kordel France (Johns Hopkins University), John Sheppard (Montana State University) |
| RWA | Vertical-Axis Wind Turbine Design Using Surrogate-assisted Optimization with Physical Experiments In-loop | Matthew Lette (University of New South Wales; Australian Department of Defence, Sydney), Kamrul Rahi (University of New South Wales), Hemant Singh (The University of New South Wales), Tapabrata Ray (University of New South Wales) |
| SBSE | Adaptive Search-based Repair of Deep Neural Networks | Davide Li Calsi (Technical University of Munich), Matias Duran (National Institute of Informatics), Thomas Laurent (National Institute of Informatics), Xiao-Yi Zhang (University of Science and Technology Beijing), Paolo Arcaini (National Institute of Informatics), Fuyuki Ishikawa (National Institute of Informatics) |
| GA | First Improvement Hill Climber with Linkage Learning -- on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms | Michal Przewozniczek (Wroclaw University of Science and Technology), Renato Tinós (University of São Paulo), Marcin Komarnicki (Wroclaw University of Science and Technology) |
| CS | pyribs: A Bare-Bones Python Library for Quality Diversity Optimization | Bryon Tjanaka (University of Southern California), Matthew Fontaine (University of Southern California), David Lee (University of Southern California), Yulun Zhang (Carnegie Mellon University), Nivedit Reddy Balam (University of Southern California), Nathaniel Dennler (University of Southern California), Sujay Garlanka (University of Southern California), Nikitas Klapsis (University of Southern California), Stefanos Nikolaidis (University of Southern California) |
| EMO | Multi-objective Robust Optimization and Decision-Making Using Evolutionary Algorithms | Deepanshu Yadav (Department of Engineering Design, Indian Institute of Technology Madras), Palaniappan Ramu (Department of Engineering Design, Indian Institute of Technology Madras), Kalyanmoy Deb (Department of Electrical and Computer Engineering, Michigan State University) |
| ECOM | On the Use of Second Order Neighbors to Escape from Local Optima | Manuel Torralbo (VICOMTECH), Leticia Hernando (University of the Basque Country), Ernesto Contreras-Torres (Basque Center for Applied Mathematics), Jose Lozano (Basque Center for Applied Mathematics, University of the Basque Country) |
| ACO-SI | Learning-Based Neural Ant Colony Optimization | Yi Liu (Fudan University), Jiang Qiu (Fudan University), Emma Hart (Edinburgh Napier University), Yilan Yu (Fudan University), Zhongxue Gan (Fudan University), Wei Li (Fudan University) |
| EML | Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization | Hayden Andersen (Victoria University of Wellington), Andrew Lensen (Victoria University of Wellington), Will Browne (Queensland University of Technology), Yi Mei (Victoria University of Wellington) |
| RWA | Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery | Peter Bentley (University College London, Autodesk), Soo Ling Lim (University College London), Paolo Arcaini (National Institute of Informatics), Fuyuki Ishikawa (National Institute of Informatics) |
| RWA | ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design | Pier Luca Lanzi (Politecnico di Milano), Daniele Loiacono (Politecnico di Milano) |
| ENUM | When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems | André Thomaser (BMW AG, Leiden University), Jacob de Nobel (Leiden University), Diederick Vermetten (Leiden University), Furong Ye (Leiden University), Thomas Bäck (Leiden University), Anna Kononova (Leiden University) |
| NE | Stable and Sample-Efficient Policy Search for Continuous Control via Hybridizing Phenotypic Evolutionary Algorithm with the Double Actors Regularized Critics | Thai Huy Nguyen (University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNU-HCM)), Ngoc Hoang Luong (University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNU-HCM)) |
| NE | Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions | Yameng Peng (RMIT University), Andy Song (RMIT University), Vic Ciesielski (RMIT University), Haytham Fayek (RMIT University), Xiaojun Chang (University of Technology Sydney) |
| CS | Morphology Choice Affects the Evolution of Affordance Detection in Robots | Federico Pigozzi (University of Trieste, Italy), Stephanie Woodman (Yale University), Eric Medvet (University of Trieste), Rebecca Kramer-Bottiglio (Yale University), Josh Bongard (University of Vermont) |
| EMO | Multiobjective Optimization with a Quadratic Surrogate-assisted CMA-ES | Mohamed Gharafi (Inria, École Polytechnique), Nikolaus Hansen (Inria), Dimo Brockhoff (Inria), Rodolphe Le Riche (CNRS, LIMOS) |
| ECOM | Learning to Select Initialisation Heuristic for Vehicle Routing Problems | Joao Cavalcanti Costa (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| EMO | Directed Quick Search Guided Evolutionary Algorithm for Large-scale Multi-objective Optimization Problems | Ying Wu (Wenzhou University, College of Computer Science & Artifcial Intelligence), Na Yang (Wenzhou University, College of Computer Science & Artifcial Intelligence), Long Chen (Zhejiang Normal University, College of Teacher Education), Ye Tian (Anhui University, Institutes of Physical Science and Information Technology), Zhenzhou Tang (Wenzhou University, College of Computer Science & Artifcial Intelligence) |
| EMO | Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments | Guangyan An (Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology), Ziyu Wu (Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology), Zhilong Shen (Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology), Ke Shang (Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology), Hisao Ishibuchi (Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology) |
| EML | Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling | Qi Chen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Wolfgang Banzhaf (Michigan State University), Mengjie Zhang (Victoria University of Wellington) |
| EMO | Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II | Hisao Ishibuchi (Southern University of Science and Technology), Lie Meng Pang (Southern University of Science and Technology), Ke Shang (Southern University of Science and Technology) |
| EMO | Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization | Cheng Gong (City University of Hong Kong), Yang Nan (Southern University of Science and Technology), Lie Pang (Southern University of Science and Technology), Qingfu Zhang (City University of Hong Kong), Hisao Ishibuchi (Southern University of Science and Technology) |
| ACO-SI | A Study of Ant-Based Pheromone Spaces for Generation Perturbative Hyper-Heuristics | Emilio Singh (University of Pretoria), Nelishia Pillay (University of Pretoria) |
| ECOM | Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables | Firas Ben Jedidia (Ecole Polytechnique), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Martin Krejca (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
| RWA | Evolving Flying Machines in Minecraft Using Quality Diversity | Alejandro Medina (Southwestern University), Melanie Richey (Southwestern University), Mark Mueller (Southwestern University), Jacob Schrum (Southwestern University) |
| RWA | Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms | François Clément (Sorbonne Université, CNRS, LIP6), Diederick Vermetten (LIACS, Leiden University), Jacob de Nobel (LIACS, Leiden University), Alexandre Jesus (University of Coimbra, CISUC, DEI), Luís Paquete (University of Coimbra, CISUC, DEI), Carola Doerr (Sorbonne Université, CNRS, LIP6) |
| Theory | Runtime Analysis of Quality Diversity Algorithms | Jakob Bossek (RWTH Aachen University), Dirk Sudholt (University of Passau) |
| RWA | Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study | Magnus Schjølberg (Norwegian University of Science and Technology), Nicklas Bekkevold (Norwegian University of Science and Technology), Xavier Sánchez-Díaz (Norwegian University of Science and Technology), Ole Jakob Mengshoel (Norwegian University of Science and Technology, Carnegie Mellon University) |
| EML | Optimizing fairness tradeoffs in machine learning with multiobjective meta-models | William La Cava (Boston Children's Hospital, Harvard Medical School) |
| ACO-SI | Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms | Connor Mattson (University of Utah), Daniel Brown (University of Utah) |
| SBSE | Automated Repair of Unrealisable LTL Specifications Guided by Model Counting | Matías Brizzio (IMDEA Software Institute, Universidad Politécnica de Madrid), Maxime Cordy (SnT, University of Luxembourg), Mike Papadakis (SnT, University of Luxembourg), César Sánchez (IMDEA Software Institute), Nazareno Aguirre (Universidad Nacional de Río Cuarto, CONICET), Renzo Degiovanni (SnT, University of Luxembourg) |
| ACO-SI | Swarms of Artificial Platelets for Emergent Hole Detection and Healing in Wireless Sensor Networks | Giada Simionato (University of Florence, University of Pisa), Federico Galatolo (University of Pisa), Mario Cimino (University of Pisa) |
| EML | Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO | Kaan Demir (Victoria University of Wellington), Bach Nguyen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| ECOM | Q-Learning Ant Colony Optimization supported by Deep Learning for Target Set Selection | Jairo Enrique Ramírez Sánchez (Tecnologico de Monterrey), Camilo Chacón Sartori (IIIA-CSIC), Christian Blum (IIIA-CSIC) |
| EML | Biological insights on grammar-structured mutations improve fitness and diversity | Stefano Tiso (University of Groningen), Pedro Carvalho (University of Coimbra), Nuno Lourenço (University of Coimbra), Penousal Machado (University of Coimbra) |
| RWA | MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images | Georgios Andreadis (Leiden University Medical Center (LUMC)), Peter Bosman (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University Medical Center (LUMC)) |
| ECOM | Fourier Transform-based Surrogates for Permutation Problems | Francisco Chicano (University of Malaga), Bilel Derbel (Inria Lille - Nord Europe), Sébastien Verel (Université du Littoral Côte d'Opale) |
| GP | An Investigation of Geometric Semantic GP with Linear Scaling | Giorgia Nadizar (Department of Mathematics and Geosciences, University of Trieste), Fraser Garrow (Heriot-Watt University), Berfin Sakallioglu (NOVA Information Management School, Universidade Nova de Lisboa, Portugal), Lorenzo Canonne (Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL), Sara Silva (LASIGE, Department of Informatics; Faculty of Sciences, University of Lisbon), Leonardo Vanneschi (NOVA Information Management School, Universidade Nova de Lisboa, Portugal) |
| GA | Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization | Robert Lange (Technical Univ. Berlin), Tom Schaul (Google DeepMind), Yutian Chen (Google DeepMind), Chris Lu (University of Oxford), Tom Zahavy (Google DeepMind), Valentin Dalibard (Google DeepMind), Sebastian Flennerhag (Google DeepMind) |
| GECH | Quality-diversity in dissimilarity spaces | Steve Huntsman (STR) |
| EML | Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models | Lennart Schneider (LMU Munich, Munich Center for Machine Learning (MCML)), Bernd Bischl (LMU Munich, Munich Center for Machine Learning (MCML)), Janek Thomas (LMU Munich, Munich Center for Machine Learning (MCML)) |
| CS | Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration | Hannah Janmohamed (Imperial College, InstaDeep), Thomas Pierrot (InstaDeep), Antoine Cully (Imperial College) |
| EMO | A hierarchical clustering-based cooperative multi-population many-objective optimization algorithm | Na Yang (Wenzhou University, College of Computer Science & Artificial Intelligence), Quan Zhang (Wenzhou University, College of Computer Science & Artificial Intelligence), Ying Wu (Wenzhou University, College of Computer Science & Artificial Intelligence), Yisu Ge (Wenzhou University, College of Computer Science & Artificial Intelligence), Zhenzhou Tang (Wenzhou University, College of Computer Science & Artificial Intelligence) |
| NE | On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search | Bruno Gašperov (University of Zagreb, Faculty of Electrical Engineering and Computing), Marko Đurasević (University of Zagreb, Faculty of Electrical Engineering and Computing) |
| GP | A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression | Hengzhe Zhang (Victoria University of Wellington), Qi Chen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Wolfgang Banzhaf (Michigan State University), Mengjie Zhang (Victoria University of Wellington) |
| Theory | Calculating lexicase selection probabilities is NP-Hard | Emily Dolson (Michigan State University) |
| EML | Cooperative Co-Evolution of Ensembles of Nested Dichotomies for Multi-Class Classification | Marcel Wever (Munich Center for Machine Learning, LMU Munich), Miran Özdogan (University of Cambridge), Eyke Hüllermeier (Munich Center for Machine Learning, LMU Munich) |
| EML | Novelty Seeking Multiagent Evolutionary Reinforcement Learning | Ayhan Alp Aydeniz (Oregon State University), Robert Loftin (Delft University of Technology), Kagan Tumer (Oregon State University) |
| RWA | EA-based ASV Trajectory Planner for Detecting Cyanobacterial Blooms in Freshwater | Gonzalo Carazo-Barbero (Universidad Complutense de Madrid), Eva Besada-Portas (Universidad Complutense de Madrid), José Risco-Martín (Universidad Complutense de Madrid), José López-Orozco (Universidad Complutense de Madrid) |
| CS | Universal Mechanical Polycomputation in Granular Matter | Atoosa Parsa (University of Vermont), Sven Witthaus (Yale University), Nidhi Pashine (Yale University), Corey O’Hern (Yale University), Rebecca Kramer-Bottiglio (Yale University), Josh Bongard (University of Vermont) |
| GECH | Bayesian Quality Diversity Search with Interactive Illumination | Paul Kent (University of Warwick), Juergen Branke (Warwick Business School, University of Warwick) |
| EML | Rethinking Population-assisted Off-policy Reinforcement Learning | Bowen Zheng (Southern University of Science and Technology), Ran Cheng (Southern University of Science and Technology) |
| RWA | Automatic Hyper-Heuristic to Generate Heuristic-based Adaptive Sliding Mode Controller Tuners for Buck-Boost Converters | Daniel Zambrano-Gutierrez (Tecnológico de Monterrey), Jorge Cruz-Duarte (Tecnológico de Monterrey), Herman Castañeda (Tecnológico de Monterrey) |
| Theory | Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem | Samuel Baguley (Hasso-Plattner-Institute, Potsdam University), Tobias Friedrich (Hasso-Plattner-Institute, Potsdam University), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide), Marcus Pappik (Hasso-Plattner-Institute, Potsdam University), Ziena Zeif (Hasso-Plattner-Institute, Potsdam University) |
| ACO-SI | Particle Swarm Optimization with Ring Topology for Multi-modal Multi-objective Problems | Youwei Sun (Taiyuan University of Science and Technology), Chaoli Sun (Taiyuan University of Science and Technology) |
| ECOM | A MILP-Based Very Large-Scale Neighborhood Search for the Heterogeneous Vehicle Routing Problem with Simultaneous Pickup and Delivery | Napoleão Nepomuceno (University of Fortaleza), Ricardo Saboia (University of Fortaleza), André Coelho (University of Fortaleza) |
| RWA | Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming | Lukas Bostelmann-Arp (Otto-von-Guericke-University), Christoph Steup (Otto-von-Guericke-University), Sanaz Mostaghim (Otto-von-Guericke-University) |
| ACO-SI | Pid-Inspired Modifications in Response Threshold Models In Swarm Intelligent Systems | Maryam Kebari (University of Central Florida), Annie Wu (University of Central Florida), H. Mathias (University of Wisconsin-La Crosse) |
| CS | A Fully-distributed Shape-aware Neural Controller for Modular Robots | Giorgia Nadizar (DMG, University of Trieste, Italy), Eric Medvet (DIA, University of Trieste, Italy), Kathryn Walker (IT University Copenhagen), Sebastian Risi (IT University Copenhagen) |
| EML | Covariance Matrix Adaptation MAP-Annealing | Matthew Fontaine (University of Southern California), Stefanos Nikolaidis (University of Southern California) |
| CS | Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata | Caitlin Grasso (University of Vermont), Josh Bongard (University of Vermont) |
| RWA | Tomographic Reconstruction with Search Space Expansion | Mohammad Majid al-Rifaie (University of Greenwich), Tim Blackwell (Goldsmiths University) |
| CS | MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy | Maxence Faldor (Imperial College London), Félix Chalumeau (InstaDeep), Manon Flageat (Imperial College London), Antoine Cully (Imperial College London) |
| Theory | Runtime Analysis with Variable Cost | Per Kristian Lehre (University of Birmingham), Andrew Sutton (University of Minnesota Duluth) |
| RWA | Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification | Vojtech Mrazek (Faculty of information technology, Brno University of Technology), Soyiba Jawed (Faculty of information technology, Brno University of Technology), Muhammad Arif (Faculty of information technology, Brno University of Technology; Institute of Networked and Embedded Systems, University of Klagenfurt), Aamir Malik (Faculty of information technology, Brno University of Technology) |
| ENUM | Modular Differential Evolution | Diederick Vermetten (Leiden University), Fabio Caraffini (Swansea University), Anna Kononova (Leiden University), Thomas Bäck (Leiden University) |
| SBSE | Learning by Viewing: Generating Test Inputs for Games by Integrating Human Gameplay Traces in Neuroevolution | Patric Feldmeier (University of Passau), Gordon Fraser (University of Passau) |
| CS | Differentiable Soft-Robot Generation | François Cochevelou (Dassault Systèmes), David Bonner (Dassault Systèmes), Martin-Pierre Schmidt (Mathematics Lab (LMI), National Institute of Applied Sciences (INSA); Dassault Systèmes) |
| SBSE | Searching for Quality: Genetic Algorithms and Metamorphic Testing for Software Engineering ML | Leonhard Applis (Delft University of Technology), Annibale Panichella (Delft University of Technology), Ruben Marang (Delft University of Technology) |
| GECH | How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs | Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Arthur Dremaux (École Polytechnique), Johannes Lutzeyer (École Polytechnique), Aurelien Stumpf (École Polytechnique) |
| RWA | Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems | Diksha Goel (University of Adelaide), Aneta Neumann (University of Adelaide), Frank Neumann (University of Adelaide), Hung Nguyen (University of Adelaide), Mingyu Guo (University of Adelaide) |
| ECOM | Local Optima Correlation Assisted Adaptive Operator Selection | Jiyuan Pei (Southern University of Science and Technology), Hao Tong (The University of Birmingham), Jialin Liu (Southern University of Science and Technology), Yi Mei (Victoria University of Wellington), Xin Yao (Southern University of Science and Technology) |
| EML | Exploring High-Dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS | Naoya Yatsu (The University of Electro-Communications), Hiroki Shiraishi (Yokohama National University), Hiroyuki Sato (The University of Electro-Communications), Keiki Takadama (The University of Electro-Communications) |
| CS | Optimization of a Hydrodynamic Computational Reservoir through Evolution | Alessandro Pierro (Oslo Metropolitan University, University of Trieste), Kristine Heiney (Oslo Metropolitan University, Norwegian University of Science and Technology), Shamit Shrivastava (Apoha Limited), Giulia Marcucci (Apoha Limited, University of Glasgow), Stefano Nichele (Østfold University College, Oslo Metropolitan University) |
| EML | An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification | Gonglin Yuan (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| EMO | Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation | Yin Wu (Southern University of Science and Technology), Ruihao Zheng (Southern University of Science and Technology), Zhenkun Wang (Southern University of Science and Technology) |
| GA | The Impact of Asynchrony on Parallel Model-Based EAs | Arthur Guijt (Centrum Wiskunde & Informatica (CWI), Delft University of Technology), Dirk Thierens (Utrecht University), Tanja Alderliesten (Leiden University Medical Center), Peter Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| GA | Larger Offspring Populations Help the $(1 + (lambda, lambda))$ Genetic Algorithm to Overcome the Noise | Alexandra Ivanova (HSE University, Skoltech), Denis Antipov (The University of Adelaide), Benjamin Doerr (École Polytechnique) |
| ACO-SI | Aggregation Through Adaptive Random Walks in a Minimalist Robot Swarm | Luigi Feola (Italian National Research Council, University of Roma La Sapienza), Antoine Sion (University of Namur), Vito Trianni (Italian National Research Council), Andreagiovanni Reina (Université Libre de Bruxelles), Elio Tuci (University of Namur) |
| Theory | Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus | Benjamin Doerr (École Polytechnique), Andrew Kelley (Cobham Advanced Electronic Solutions) |
| GP | Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems | Alina Geiger (University of Mainz), Dominik Sobania (University of Mainz), Franz Rothlauf (University of Mainz) |
| EML | Adaptive Team Cooperative Co-Evolution for a Multi-Rover Distribution Problem | Nicolas Fontbonne (Sorbonne Université, CNRS), Nicolas Maudet (Sorbonne Université, CNRS), Nicolas Bredeche (Sorbonne Université, CNRS) |
| ACO-SI | The Impact of Morphological Diversity in Robot Swarms | Geoff Nitschke (UCT), Sindiso Mkhatshwa (UCT) |
| GA | Genetic Algorithm with Linkage Learning | Renato Tinós (University of São Paulo), Michal Przewozniczek (Wroclaw University of Science and Technology), Darrell Whitley (Colorado State University), Francisco Chicano (University of Málaga) |
| EML | Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances | Ana Nikolikj (Jožef Stefan Institute), Saso Dzeroski (Jožef Stefan Institute), Mario Muñoz (The University of Melbourne), Carola Doerr (Sorbonne University), Peter Korosec (Jožef Stefan Institute), Tome Eftimov (Jožef Stefan Institute) |
| ECOM | Finding Near-Optimal Weight Independent Sets at Scale | Ernestine Großmann (University Heidelberg), Sebastian Lamm (Karlsruhe Institute of Technology), Christian Schulz (University Heidelberg), Darren Strash (Department of Computer Science, Hamilton College) |
| ECOM | Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search | Quan Phan (University of Information Technology (UIT), VNU-HCM; Vietnam National University - Ho Chi Minh City (VNU-HCM)), Ngoc Hoang Luong (University of Information Technology (UIT), VNU-HCM; Vietnam National University - Ho Chi Minh City (VNU-HCM)) |
| RWA | Learning Emergency Medical Dispatch Policies Via Genetic Programming | Jordan MacLachlan (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Fangfang Zhang (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington), Jessica Signal (Wellington Free Ambulance) |
| ECOM | MOEAs Are Stuck in a Different Area at a Time | Miqing Li (The University of Birmingham), Xiaofeng Han (Harbin Institute of Technology), Xiaochen Chu (Harbin Institute of Technology) |
| ECOM | Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms | Valentino Santucci (University for Foreigners of Perugia), Josu Ceberio (University of Basque Country UPV/EHU) |
| GP | A General Purpose Representation and Adaptive EA for Evolving Graphs | Eric Medvet (DIA, University of Trieste, Italy), Simone Pozzi (DMG, University of Trieste, Italy), Luca Manzoni (DMG, University of Trieste, Italy) |
| EML | Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent Systems | Gaurav Dixit (Oregon State University), Kagan Tumer (Oregon State University) |
| CS | Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots | Alican Mertan (University of Vermont), Nick Cheney (University of Vermont) |
| EML | OmnImage: Evolving 1k Image Cliques for Few-Shot Learning | Lapo Frati (University of Vermont), Neil Traft (University of Vermont), Nick Cheney (University of Vermont) |
| CS | Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces | Raphaël Boige (Instadeep), Guillaume Richard (Instadeep), Jérémie Dona (Instadeep), Thomas Pierrot (Instadeep), Antoine Cully (Imperial College) |
| EMO | STHV-Net: Hypervolume Approximation based on Set Transformer | Han Zhu (Southern University of Science and Technology), Ke Shang (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology) |
| EMO | Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems | Linjun He (National University of Singapore), Yang Nan (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology), Dipti Srinivasan (National University of Singapore) |
| RWA | Evolutionary Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks | Aneta Neumann (The University of Adelaide), Sharlotte Gounder (The University of Adelaide), Xiankun Yan (The University of Adelaide), Gregory Sherman (Defence Science and Technology Group Edinburgh), Benjamin Campbell (Defence Science and Technology Group Edinburgh), Mingyu Guo (The University of Adelaide), Frank Neumann (The University of Adelaide) |
| ENUM | CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? | Masahiro Nomura (Tokyo Institute of Technology), Youhei Akimoto (University of Tsukuba, RIKEN AIP), Isao Ono (Tokyo Institute of Technology) |
| GA | Combining Evolutionary Algorithms with Reaction Rules Towards Focused Molecular Design | João Correia (University of Minho), Vítor Pereira (University of Minho), Miguel Rocha (University of Minho) |
| ECOM | Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space | Alejandro Marrero (Universidad de La Laguna), Eduardo Segredo (Universidad de La Laguna), Emma Hart (Edinburgh Napier University), Jakob Bossek (Department of Computer Science, RWTH Aachen University), Aneta Neumann (Optimisation and Logistics, The University of Adelaide) |
| ENUM | Using Affine Combinations of BBOB Problems for Performance Assessment | Diederick Vermetten (Leiden University), Furong Ye (Leiden University), Carola Doerr (Sorbonne Universite, CNRS) |
| NE | Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning | Bryan Lim (Imperial College), Manon Flageat (Imperial College), Antoine Cully (Imperial College) |
| GP | Reducing Overparameterization of Symbolic Regression Models with Equality Saturation | Fabricio de Franca (Universidade Federal do ABC), Gabriel Kronberger (University of Applied Sciences Upper Austria) |
| NE | MPENAS: Multi-fidelity Predictor-guided Evolutionary Neural Architecture Search with Zero-cost Proxies | Jinglue Xu (The University of Tokyo), Suryanarayanan NAV (The University of Tokyo), Hitoshi Iba (The University of Tokyo) |
| GECH | Effective Parallelization of the Vehicle Routing Problem | Rajesh Pandian Muniasamy (Indian Institute of Technology Madras), Somesh Singh (Inria Lyon, LIP (CNRS - INRIA - ENS Lyon - UCBL)), Rupesh Nasre. (Indian Institute of Technology Madras), N.S. Narayanaswamy (Indian Institute of Technology Madras) |
| EMO | 3-Objective Pareto Optimization for Problems with Chance Constraints | Frank Neumann (The University of Adelaide), Carsten Witt (Technical University of Denmark) |
| EML | Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems | Hiroki Shiraishi (Yokohama National University), Yohei Hayamizu (The State University of New York at Binghamton), Tomonori Hashiyama (The University of Electro-Communications) |
| RWA | Multi-Objective Multi-Gene Genetic Programming for the Prediction of Leakage in Water Distribution Networks | Matthew Hayslep (University of Exeter), Edward Keedwell (University of Exeter), Raziyeh Farmani (University of Exeter) |
| ECOM | To Combine or not to Combine Graybox Crossover and Local Search? | Lorenzo Canonne (Inria Lille - Nord Europe, Univ. Lille), Bilel Derbel (Univ. Lille, Inria Lille - Nord Europe), Francisco Chicano (University of Malaga), Gabriela Ochoa (University of Stirling) |
| EMO | Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time | Michał Tomczyk (Poznan University of Technology), Miłosz Kadziński (Poznan University of Technology) |
| EML | Symbolic Regression Trees as Embedded Representations | Victor Caetano (Universidade Federal de Minas Gerais), Matheus Teixeira (Universidade Federal de Minas Gerais), Gisele Pappa (Universidade Federal de Minas Gerais) |
| NE | The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers | Valentin Macé (InstaDeep, Sorbonne University), Raphaël Boige (InstaDeep), Felix Chalumeau (InstaDeep), Thomas Pierrot (InstaDeep), Guillaume Richard (InstaDeep), Nicolas Perrin-Gilbert (Sorbonne University) |
| ECOM | Leveraging problem-independent hyper-heuristics for real-world test laboratory scheduling | Florian Mischek (TU Wien), Nysret Musliu (TU Wien) |
| Theory | Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions | Carola Doerr (CNRS, Sorbonne Université), Duri Andrea Janett (ETH Zurich, Sorbonne Université), Johannes Lengler (ETH Zurich) |
| GECH | How the Morphology Encoding Influences the Learning Ability in Body-Brain Co-Optimization | Federico Pigozzi (DIA, University of Trieste, Italy), Federico Julian Camerota Verdù (DMG, University of Trieste, Italy), Eric Medvet (DIA, University of Trieste, Italy) |
| GP | Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation | Marko Durasevic (University of Zagreb Faculty of Electrical Engineering and Computing), Francisco Javier Gil-Gala (University of Oviedo. Department of Computing), Domagoj Jakobović (University of Zagreb Faculty of Electrical Engineering and Computing) |
| ENUM | On a Population Sizing Model for Evolution Strategies Optimizing the Highly Multimodal Rastrigin Function | Lisa Schönenberger (FH Vorarlberg University of Applied Sciences), Hans-Georg Beyer (FH Vorarlberg University of Applied Sciences) |
| EML | Positive Definite Nonparametric Regression using an Evolutionary Algorithm with Application to Covariance Function Estimation | Myeongjong Kang (Texas A&M University) |
| EMO | RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization | Yongfan Lu (East China Normal University), Bingdong Li (East China Normal University), Hong Qian (East China Normal University), Wenjing Hong (Southern University of Science and Technology), Peng Yang (Southern University of Science and Technology), Aimin Zhou (East China Normal University) |
| EML | A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control | Hai Long Tran (Hanoi University of Science and Technology), Long Doan (George Mason University), Ngoc Hoang Luong (University of Information Technology (UIT), VNU-HCM; Vietnam National University - Ho Chi Minh City (VNU-HCM)), Binh Huynh Thi Thanh (Hanoi University of Science and Technology) |
| ENUM | DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems | Gjorgjina Cenikj (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Gašper Petelin (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Carola Doerr (Sorbonne Université, CNRS, LIP6), Peter Korošec (Jožef Stefan Institute), Tome Eftimov (Jožef Stefan Institute) |
| NE | Channel Configuration for Neural Architecture: Insights from the Search Space | Sarah Thomson (University of Stirling), Gabriela Ochoa (University of Stirling), Nadarajen Veerapen (Univ. Lille), Krzysztof Michalak (Wrocław University of Economics) |
| RWA | Combined Layout Optimization of Wind Farm and Cable Connection on Complex Terrain Using a Genetic Algorithm | Daiki Kiribuchi (Toshiba Corporation), Ryoko Hatakeyama (Toshiba Corporation), Tomoshi Otsuki (Toshiba Corporation), Tatsuya Yoshioka (Toshiba Energy Systems & Solutions Corporation), Kana Konno (Toshiba Energy Systems & Solutions Corporation), Takumi Matsuda (Toshiba Energy Systems & Solutions Corporation) |
| ENUM | (1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems | Yohei Watanabe (Yokohama National University), Kento Uchida (Yokohama National University), Ryoki Hamano (Yokohama National University), Shota Saito (Yokohama National University; SkillUp AI Co., Ltd.), Masahiro Nomura (CyberAgent, Inc.), Shinichi Shirakawa (Yokohama National University) |
| GP | Enhanced Strongly typed Genetic Programming for Algorithmic Trading | Evangelia Christodoulaki (University of Essex), Michael Kampouridis (University of Essex), Maria Kyropoulou (University of Essex) |
| RWA | Scheduling Multi-Resource Satellites using Genetic Algorithms and Permutation Based Representations | Darrell Whitley (Colorado State University), Ozeas Quevedo de Carvalho (Colorado State University), Mark Roberts (Navy Research Labs), Vivint Shetty (Navy Research Labs), Piyabutra Jampathom (Navy Research Labs) |
| NE | Guiding the Exploration of the Solution Space in Walking Robots Through Growth-Based Morphological Development. | Martín Naya-Varela (Universidade da Coruña), Andrés Faíña (IT University of Copenhagen), Richard Duro (Universidade da A Coruña) |
| SBSE | Search-Based Test Generation Targeting Non-Functional Quality Attributes of Android Apps | Teklit Gereziher (Chalmers | University of Gothenburg), Selam Gebrekrstos (Chalmers | University of Gothenburg), Gregory Gay (Chalmers | University of Gothenburg) |
| GA | Probabilistic model with evolutionary optimization for cognitive diagnosis | Chenyang Bu (Hefei University of Technology), Zhiyong Cao (Hefei University of Technology), Chenlong He (Hefei University of Technology), Yuhong Zhang (Hefei University of Technology) |
| GA | To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation | Michal Przewozniczek (Wroclaw University of Science and Technology), Marcin Komarnicki (Wroclaw University of Science and Technology) |
| EML | Dynamic Depth for Better Generalization in Continued Fraction Regression | Pablo Moscato (The University of Newcastle), Andrew Ciezak (The University of Newcastle), Nasimul Noman (The University of Newcastle) |
| RWA | Towards Evolutionary Control Laws for Viability Problems | Alberto Tonda (UMR 518 MIA-PS, UAR 3611 ISC-PIF), Isabelle Alvarez (UMR 518 MIA-PS, UAR 3611 ISC-PIF), Sophie Martin (UMR 518 MIA-PS, UAR 3611 ISC-PIF), Giovanni Squillero (Politecnico di Torino, UAR 3611 ISC-PIF), Evelyne Lutton (UMR 518 MIA-PS, UAR 3611 ISC-PIF) |
| EML | MOAZ: A Multi-Objective AutoML-Zero Framework | Ritam Guha (Michigan State University), Wei Ao (Michigan State University), Stephen Kelly (McMaster University), Vishnu Boddeti (Michigan State University), Erik Goodman (Michigan State University), Wolfgang Banzhaf (Michigan State University), Kalyanmoy Deb (Michigan State University) |
| ACO-SI | The Barrier Tree Benchmark: Many Basins and Double Funnels | Tim Blackwell (Goldsmiths, University of London) |
| CS | Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains | Luca Grillotti (Imperial College London), Manon Flageat (Imperial College London), Bryan Lim (Imperial College London), Antoine Cully (Imperial College London) |
| EMO | Improving Neighborhood Exploration Mechanism to Speed up Pareto Local Search | Yuhao Kang (Xi'an Jiaotong University), Jialong Shi (Xi'an Jiaotong University, Sichuan Digital Economy Industry Development Research Institute), Jianyong Sun (Xi'an Jiaotong University), Ye Fan (Northwestern Polytechnical University) |
| ENUM | Evolutionary Mixed-Integer Optimization with Explicit Constraints | Yuan Hong (Dalhousie University), Dirk Arnold (Dalhousie University) |
| ECOM | Local Optima Markov Chain: A New Tool for Landscape-aware Analysis of Algorithm Dynamics | Francisco Chicano (University of Malaga), Gabriela Ochoa (University of Stirling), Lorenzo Canonne (Inria Lille - Nord Europe), Bilel Derbel (Inria Lille - Nord Europe) |
| EML | Hybridizing TPOT with Bayesian Optimization | Angus Kenny (University of New South Wales), Tapabrata Ray (University of New South Wales), Steffen Limmer (Honda Research Institute Europe GmbH), Hemant Singh (University of New South Wales), Tobias Rodemann (Honda Research Institute Europe GmbH), Markus Olhofer (Honda Research Institute Europe GmbH) |
| GP | Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism | Edward Pantridge (Swoop), Thomas Helmuth (Hamilton College) |
| GP | Fully Autonomous Programming with Large Language Models | Vadim Liventsev (Technical University of Eindhoven, Philips Research), Anastasiia Grishina (Simula Research Laboratory, University of Oslo), Aki Härmä (Philips Research), Leon Moonen (Simula Research Laboratory, BI Norwegian Business School) |
| GP | Comparing the expressive power of Strongly-Typed and Grammar-Guided Genetic Programming | Alcides Fonseca (LASIGE, Faculdade de Ciências da Universidade de Lisboa), Diogo Poças (LASIGE, Faculdade de Ciências da Universidade de Lisboa) |
| ECOM | New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem | Xabier Benavides (Basque Center for Applied Mathematics, University of the Basque Country), Josu Ceberio (University of the Basque Country), Leticia Hernando (University of the Basque Country), Jose Antonio Lozano (Basque Center for Applied Mathematics, University of the Basque Country) |
| ENUM | Natural Evolution Strategy for Mixed-Integer Black-Box Optimization | Koki Ikeda (Tokyo Institute of Technology), Isao Ono (Tokyo Institute of Technology) |
| RWA | Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization | Hinata Edo (University of Tsukuba, RIKEN AIP), Yoshiki Miyauchi (Osaka University), Atsuo Maki (Osaka University), Youhei Akimoto (University of Tsukuba, RIKEN AIP) |
| EMO | Two-Phase Procedure for Efficiently Removing Dominated Solutions from Large Solution Sets | Tianye Shu (Southern University of Science and Technology), Yang Nan (Southern University of Science and Technology), Ke Shang (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology) |
| RWA | Evolutionary Approach to Recommender Systems Improvement by Directory of Products Optimization | Piotr Lipinski (Computational Intelligence Research Group, Institute of Computer Science, University of Wroclaw) |
| GP | Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning | Christian Raymand (Victoria University of Wellington), Qi Chen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| ACO-SI | On the evolution of mechanisms for three-option collective decision-making in a swarm of simulated robots | Ahmed Almansoori (University of Namur, University of Karbala), Muhanad Alkilabi (University of Namur), Elio Tuci (University of Namur) |
| GA | On the Suitability of Representations for Quality Diversity Optimization of Shapes | Ludovico Scarton (Bonn-Rhein-Sieg University of Applied Sciences), Alexander Hagg (Bonn-Rhein-Sieg University of Applied Sciences) |
| EML | Interactive Latent Diffusion Model | Mathurin Videau (Meta, Inria Saclay–Île-de-France), Nickolai Knizev (Meta), Alessandro Leite (Inria Saclay–Île-de-France), Marc Schoenauer (Inria Saclay–Île-de-France), Olivier Teytaud (Meta) |
| EMO | Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness | Arnaud Liefooghe (University of Lille, Inria), Gabriela Ochoa (University of Stirling), Sébastien Verel (Université du Littoral Côte d'Opale), Bilel Derbel (University of Lille, Inria) |
| EMO | On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point | Ryoji Tanabe (Yokohama National University) |
| EMO | Many-objective (Combinatorial) Optimization is Easy | Arnaud Liefooghe (University of Lille, Inria), Manuel López-Ibáñez (University of Manchester) |