- The review process is now over: TBC 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.
- Note that this is a working list and will be updated as final details are confirmed.
List of Accepted Papers
| Track | Title | Authors |
|---|---|---|
| EMO | Structural Bias in Continuous Multi-objective Optimization | Jakub Kudela (Brno University of Technology), Niki van Stein (Leiden University), Thomas Bäck (Leiden University), Anna V. Kononova (Leiden University) |
| NE | Investigating Memetic Scheduling Strategies for Distributed Neuroevolution | Diana Velychko (Rochester Institute of Technology), Travis Desell (Rochester Institute of Technology) |
| GP | LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models | Amirmohammad Ziaei Bideh (Graduate Center, City University of New York), Jonathan Gryak (Queens College, City University of New York, Graduate Center, City University of New York) |
| CS | Emergence Of Internal State-Modulated Swarming In Multi-Agent Patch Foraging System | Siddharth Chaturvedi (Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University), Ahmed Elgazzar (Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University), Marcel van Gerven (Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University) |
| EMO | An Adaptive Offspring Generation Wrapper for Constrained Multimodal Multiobjective Evolutionary Algorithms | JiaLi Gu (School of Computer and Electronics Information, Guangxi University, Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University, Nanning 530004, Guangxi Zhuang Autonomous Region, China; Key Laboratory of Parallel, Distributed and Intelligent Computing (Guangxi University), Department of Education of Guangxi Zhuang Autonomous Region, Nanning 530004, Guangxi Zhuang Autonomous Region, China), Yu Sun (School of Computer and Electronics Information, Guangxi University, Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University, Nanning 530004, Guangxi Zhuang Autonomous Region, China; Key Laboratory of Parallel, Distributed and Intelligent Computing (Guangxi University), Department of Education of Guangxi Zhuang Autonomous Region, Nanning 530004, Guangxi Zhuang Autonomous Region, China) |
| THEORY | Gray-Box Optimization and the Vertex Coloring Problem | Johanna Gasse (University of Potsdam, Hasso Plattner Institute), Antonia Heinen (University of Potsdam, Hasso Plattner Institute), Hendrik Higl (University of Potsdam, Hasso Plattner Institute), Timo Kötzing (University of Potsdam, Hasso Plattner Institute) |
| RWA | To Balance Competitive Games Using a Multi-objective Coevolutionary Approach | Shashank Raj (Michigan State University), Auden Garrard (Michigan State University), Ryan McKendrick (Northrop Grumman), Bradley Feest (Northrop Grumman), Kalyanmoy Deb (Michigan State University) |
| SI | A Hybrid GA–PSO with Collective Learning for Obstacle-Aware Sensor Node Deployment in IoT-Enabled Networks | Nguyen Thi My Binh (Hanoi University of Industry), Ho Viet Duc Luong (Hanoi University of Science and Technology), Nguyen Duc Tuan (Hanoi University of Science and Technology), Le Van Duan (Hanoi University of Science and Technology), Huynh Thi Thanh Binh (Hanoi University of Science and Technology) |
| L4EC | Does Dimensionality Reduction via Random Projections preserve Landscape Features? | Ivan Olarte Rodriguez (Leiden Institute of Advanced Computer Science), Anja Jankovic (RWTH Aachen University), Thomas Bäck (Leiden Institute of Advanced Computer Science), Elena Raponi (Leiden Institute of Advanced Computer Science) |
| EML | Personalized Federated Multi-Task Optimization via Learning-assisted Search Path Reconstruction | Zhenhai Yang (Taiyuan University of Science and Technology太原科技大学), Binhong Xie (Taiyuan University of Science and Technology太原科技大学), Lihu Pan (Taiyuan University of Science and Technology太原科技大学), Jie Tian (Shandong Women's University), Hui Liu (Shandong Women's University), Xiaoxu Zhang (University of Jinan), Chen Wu (Taiyuan University of Science and Technology太原科技大学) |
| GP | Prior-Informed Symbolic Regression for Multiview Scientific Discovery | Hernan Lira (Inria Chile), Luis Martí (Inria Chile), Nayat Sanchez-Pi (Inria Chile) |
| GP | ROIDS: Robust Outlier-Aware Informed Down-Sampling | Alina Geiger (Johannes Gutenberg University Mainz), Martin Briesch (Johannes Gutenberg University Mainz), Dominik Sobania (University of Duisburg-Essen), Franz Rothlauf (Johannes Gutenberg University Mainz) |
| ECOM | Adaptive Stochastic Natural Gradient Method for Safe Optimization on Binary Space | Kento Uchida (Yokohama National University), Ryoki Hamano (CyberAgent), Masahiro Nomura (Institute of Science Tokyo), Shinichi Shirakawa (Yokohama National University) |
| L4EC | Similarity-based Portfolio Construction for Black-box Optimization | Catalin-Viorel Dinu (Sorbonne Université, CNRS, LIP6), Diederick Vermetten (Sorbonne Université, CNRS, LIP6), Carola Doerr (Sorbonne Université, CNRS, LIP6) |
| EMO | Pareto Optimization with Robust Evaluation for Noisy Subset Selection | Yi-Heng Xu (Nanjing University), Dan-Xuan Liu (Nanjing University), Bin Zhang (Nari Technology Co., Ltd), Wei-Yong Yang (Nari Technology Co., Ltd), Chao Qian (Nanjing University) |
| RWA | Genetic Programming for Evolving Tailored Spectral Vegetation Indices in the Context of Crop Pathogen Detection | Anthony Stein (University of Hohenheim), Johanna Marie Vaske (University of Hohenheim), Simon Mielke (University of Hohenheim) |
| ECOM | Accelerating LLM-Based Algorithm Evolution for the 3D Packing Problem | Guorui Quan (The University of Manchester), Mingfei Sun (The University of Manchester), Manuel López-Ibáñez (The University of Manchester), Nicolás Álvarez-Gil (Arcelor Mittal), Silvino Fernández Alzueta (Arcelor Mittal) |
| RWA | Dual-Layer Synchronous Ring Cellular UMDA Based On Anisotropic RBF Surrogate for High-Dimensional Evolutionary Optimization in Energy Management | Jingao Liu (Xiangtan University), Chixin Xiao (Xiangtan University), Dechen Jiang (Xiangtan University), Maoxin He (Xiangtan University) |
| RWA | Should I Overtake? Cue Learning using Evolution for Accurate Recognition of Safe Autonomous Vehicle Maneuvers | Peter J. Bentley (University College London, Autodesk), Soo Ling Lim (UCL), Fuyuki Ishikawa (NII), Paolo Arcaini (NII) |
| EMO | Not All Problems Are Equal: Weighted Performance Profiles For Many-Objective Optimization | Regina Carla L. C. Sousa (Centro Federal de Educação Tecnológica de Minas Gerais, Universidade Federal de Ouro Preto), Denis E. C. Vargas (Centro Federal de Educação Tecnológica de Minas Gerais), Elizabeth F. Wanner (Centro Federal de Educação Tecnológica de Minas Gerais, Aston University), Joshua Knowles (SLB Cambridge Research) |
| RWA | Quantum-Behaved PSO-DE for Ubiquitous Connectivity in Space-Terrestrial Cell-Free Massive MIMO Systems | Anh-Thu Ngo Tran (Hanoi University of Science and Technology), Chien Van Trinh (Hanoi University of Science and Technology) |
| EML | Surrogate-Assisted Evolutionary Multi-Agent Reinforcement Learning with Adaptive Fitness Evaluation | Cong Yu (Tsinghua University), Yuxing Wang (Tsinghua University), Zaihui Yang (Tsinghua University), Haoyu Wang (Tsinghua University), JunBo Tan (Tsinghua University), Yongzhe Chang (Tsinghua University), Tiantian Zhang (Tsinghua University), Xueqian Wang (Tsinghua University) |
| EML | Mortar: Evolving Mechanics for Automatic Game Design | Muhammad Umair Nasir (University of the Witwatersrand), Yuchen Li (New York University), Steven James (University of the Witwatersrand), Julian Togelius (New York University) |
| THEORY | Parent Selection Mechanisms in Elitist Crossover-Based Algorithms | Denis Antipov (Sorbonne University), Andre Opris (University of Passau) |
| ECOM | Minimizing restacks in load-unload-ordered rectangular packing via Generational Sequence Pair | hidenori ohta (SoftBank Corp.) |
| RWA | Integrating Digital Twins into Evolutionary Optimization of Factory Layouts | Jiří Kubalík (Czech Technical University in Prague), Antonín Miller (Czech Technical University in Prague), Petr Kadera (Czech Technical University in Prague) |
| EMO | Dominance-Boundary-Based Reference Point Generation for Indicator-Based Multiobjective Optimization | Kentaro Matsumoto (The University of Electro-Communications), Hiroyuki Sato (University of Electro-Communications) |
| ECOM | Digging to the Ground Truth: Solving Multi-objective Gray-Box Optimization Problems through Hyperplane Elimination | Carolin Mensendiek (Paderborn University), Oliver Ludger Preuß (Paderborn University), Jeroen Rook (Paderborn University), Francisco Chicano (ITIS Software, University of Malaga), Darrell Whitley (Colorado State University), Heike Trautmann (Paderborn University, University of Twente) |
| NE | Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution | Rivaaj Monsia (University of Texas at Austin), Daniel Young (University of Texas at Austin), Olivier Francon (Cognizant AI Lab), Risto Miikkulainen (University of Texas at Austin) |
| EMO | Approximating the Hypervolume Indicator using Fast Low-Discrepancy Sequences | Manuel López-Ibáñez (University of Manchester) |
| ENUM | Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation | Marc Ong (University of Tsukuba), Youhei Akimoto (RIKEN, University of Tsukuba) |
| NE | neat-dnfs: A NeuroEvolutionary Framework for Evolving Dynamic Neural Field Architectures | João Gaspar Cunha (University of Minho, Centre Algoritmi), Wolfram Erlhagen (University of Minho, Centre of Mathematics), Raymond Hubert Cuijpers (Technical University of Eindhoven), Estela Bicho (University of Minho, Centre Algoritmi) |
| RWA | Evolution With Purpose: Hierarchy-Informed Optimization of Whole-Brain Models | Hormoz Shahrzad (Cognizant, The University of Texas at Austin), Niharika Gajawelli (Stanford University), Kaitlin Maile (IRIT, University of Toulouse, Google, Paradigms of Intelligence Team), Manish Saggar (Stanford University), Risto Miikkulainen (The University of Texas at Austin, Cognizant) |
| BBSR | Benchmarking Evolutionary and Machine Learning Algorithms: The SIREN Challenge of Emergency Medical Services | Torjus Kallekleiv (Norwegian University of Science and Technology), Xavier F. C. Sánchez-Díaz (Norwegian University of Science and Technology), Ole Jakob Mengshoel (Norwegian University of Science and Technology) |
| RWA | Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget | Saisubramaniam Gopalakrishnan (Quantiphi), Harikrishnan P M (Quantiphi), Dagnachew Birru (Quantiphi) |
| EML | Incremental Evolutionary Knowledge Distillation for Robust Learning under Data Corruptions | TAICHI HOSOI (Kyushu University), Danilo Vasconcellos Vargas (Kyushu University, MiraiX) |
| ECOM | Obtaining Partition Crossover masks using Statistical Linkage Learning for solving noised optimization problems with hidden variable dependency structure | Michal Witold Przewozniczek (Wroclaw University of Science and Technology), Bartosz Frej (Wroclaw University of Science and Technology), Marcin Michał Komarnicki (Wroclaw University of Science and Technology), Michał Prusik (Wroclaw University of Science and Technology), Renato Tinós (University of São Paulo) |
| SI | Efficient EV Charging Allocation in Fog Computing via Committee-Based Surrogate-Assisted PSO | Ibtissem MOKNI (University of Sousse, CY CERGY PARIS UNIVERSITY), Sonia Yassa (CY CERGY PARIS UNIVERSITY), Stephane Zuckerman (CY CERGY PARIS UNIVERSITY), Olivier Romain (Cy cergy paris university), Mohamed nazih Omri (University of sousse) |
| RWA | Hybridized Evolution Accelerating Thermostability (HEAT): A Novel MOEA Approach to EASME Protein Engineering | James Satterthwaite Larkin Browning (Auburn University, Samuel Ginn College of Engineering), Daniel Tauritz (Auburn University), John Beckmann (Auburn University) |
| NE | EvoTS: Evolutionary Transformer Search for Time Series Forecasting | AbdElRahman ElSaid (University of North Carolina Wilmington), Damir Pulatov (University of North Carolina Wilmington) |
| ENUM | Evaluation of Element-wise Effectiveness Estimation for Augmented Lagrangian CMA-ES | Haruhito Nakagawa (Yokohama National University), Kento Uchida (Yokohama National University), Shinichi Shirakawa (Yokohama National University) |
| EMO | A Bi-Criteria Selection Framework for Incorporating Preference Information into Evolutionary Multi-objective Optimization | Ryuichi Mogami (Yokohama National University), Ryoji Tanabe (Yokohama National University) |
| BBSR | Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment | Francesca Da Ros (DPIA, University of Udine), Tarik Začiragić (LIACS, Leiden University), Aske Plaat (LIACS, Leiden University), Thomas Bäck (LIACS, Leiden University), Niki van Stein (LIACS, Leiden University) |
| BBSR | Designing Landscape-Aware Benchmarks with Explicit Local Optima for Single- and Multi-Objective Optimization | Shuhei Tanaka (The University of Fukuchiyama), Shoichiro Tanaka (The University of Fukuchiyama), Kippei Mizuta (The University of Fukuchiyama), Toshiharu Hatanaka (The University of Fukuchiyama) |
| RWA | Evolutionary Multitask Optimization for Coupled Continuous Decision Spaces: A GPU-Accelerated Pre-optimization for Movable-Antenna-and-RIS-aided Systems | Ho Viet Duc Luong (Hanoi University of Science and Technology), Tran Le Dung (Hanoi University of Science and Technology), Lang Hong Nguyet Anh (Hanoi University of Science and Technology), Trinh Van Chien (Hanoi University of Science and Technology) |
| ECOM | Addressing Combinatorial Optimization with Estimation of Distribution Algorithms Based on Diffusion Models | Roberto Santana (University of the Basque Country), Jose Antonio Lozano (Basque Center for Applied Mathematics, University of the Basque Country) |
| EML | COvolve: Adversarial Co-Evolution of Large-Language-Model-Generated Policies and Environments via Two-Player Zero-Sum Game | Alkis Sygkounas (Örebro University), Rishi Hazra (Örebro University), Andreas Persson (Örebro University), Pedro Zuidberg dos Martires (Örebro University), Amy Loutfi (Örebro University) |
| L4EC | A Learning-Based Cooperative Coevolution Framework for Heterogeneous Large-Scale Global Optimization | Wenjie Qiu (South China University of Technology), Zixin Wang (South China University of Technology), Hongyu Fang (South China University of Technology), Zeyuan Ma (South China University of Technology), Yue-Jiao Gong (South China University of Technology) |
| GA | The hop-like problem nature -- unveiling and modelling new features of real-world problems | Michal Witold Przewozniczek (Wroclaw University of Science and Technology), Bartosz Frej (Wroclaw University of Science and Technology), Marcin Michal Komarnicki (Wroclaw University of Science and Technology) |
| L4EC | On the Sufficiency of SAT Features for Genetic Algorithm Parameter Selection | Paweł Kolendo (AGH University of Krakow), Wojciech Chmiel (AGH University of Krakow), Michal Pluhacek (AGH University of Krakow) |
| CS | Social Learning Strategies for Evolved Virtual Soft Robots | Ege de Bruin (University of Oslo), Kyrre Glette (University of Oslo), Kai Olav Ellefsen (University of Oslo), Giorgia Nadizar (University of Toulouse Capitole), Eric Medvet (University of Trieste) |
| ECOM | When Frequency Fitness Assignment Fails: Trapped States in Frequency-Guided Local Search | Jiazheng Zeng (Hefei University), Thomas Weise (Hefei University), Zhize Wu (Hefei University), Markus Wagner (Monash University) |
| NE | Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation | Naeem Shahabi Sani (University of Oklahoma), Ferial Najiantabriz (University of Oklahoma), Shayan Shafaei (University of Oklahoma), Dean Frederick Hougen (University of Oklahoma) |
| THEORY | Analysis of the Impact of Tournament Size on Coevolutionary Search | Alistair Benford (University of Edinburgh), Per Kristian Lehre (University of Birmingham) |
| RWA | From Prompts to Pareto Fronts: Using Code LMs as Semantic Genetic Operators for Compiler Bug Discovery | Lang Hong Nguyet Anh (Hanoi University of Science and Technology), Ho Viet Duc Luong (Hanoi University of Science and Technology), Vu Van An (Hanoi University of Science and Technology) |
| EMO | Beyond Scalarization: A Label-Free Evolutionary Framework for Balanced Clustering | Jianhao Zhu (Shanxi University), Yunhui Liang (Shanxi University), Yan Chen (Taiyuan University of Technology), Peng Wu (Shanxi University), Chao Wen (Shanxi University), Tao Yan (Shanxi University), Peng Zhou (Anhui University), liang Du (Shanxi University) |
| GECH | An Efficient Hybrid Racing Method for Portfolio Configuration | Anthony Rasulo (The University of Melbourne, The University of Manchester), Manuel López-Ibáñez (The University of Manchester), Julia Handl (The University of Manchester), Mario Andrés Muñoz (The University of Melbourne), Kate Smith-Miles (The University of Melbourne) |
| GP | Introns and Templates Matter: Rethinking Linkage in GP-GOMEA | Johannes Koch (Centrum Wiskunde & Informatica (CWI), Delft University of Technology), Tanja Alderliesten (Leiden University Medical Center), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technol) |
| RWA | IDEM Enough? Evolving Highly Nonlinear Idempotent Boolean Functions | Claude Carlet (University of Bergen), Marko Djurasevic (University of Zagreb), Domagoj Jakobovic (University of Zagreb), Luca Mariot (University of Twente), Stjepan Picek (University of Zagreb, Radboud University) |
| ENUM | On the Use of the "Mutate Large, But Inherit Small Principle" in Global and Noisy Optimization | Lisa Schönenberger (Ulm University, Vorarlberg University of Applied Sciences), Hans-Georg Beyer (Ulm University) |
| RWA | CURE: Adaptive Multi-Channel Fusion via Genetic Optimization for Chronic Wound Image Analysis | Agata Maria Wijata (Silesian University of Technology), Maria Bienkowska (Silesian University of Technology) |
| EML | SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search | Halima Bouzidi (niversité Polytechnique Hauts-de-France), Smail Niar (niversité Polytechnique Hauts-de-France), Hamza Ouarnoughi (niversité Polytechnique Hauts-de-France), El-Ghazali Talbi (University of Lille) |
| EMO | Weight Vector Specification in MOEA/D to Find Balanced and Promising Solutions for Multi-Criteria Decision Making | Lie Meng Pang (Southern University of Science and Technology), Michael Emmerich (University of Jyväskylä), Kaisa Miettinen (University of Jyväskylä), Hisao Ishibuchi (Southern University of Science and Technology) |
| NE | Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution | Dongxin Guo (The University of Hong Kong), Jikun Wu (Stellaris AI Limited), Siu Ming Yiu (The University of Hong Kong) |
| BBSR | Benchmarking Stopping Criteria for Evolutionary Multi-objective Optimization | Kenji Kitamura (Yokohama National University), Ryoji Tanabe (Yokohama National University) |
| RWA | Evolutionary Computation for Tax-Minimizing Strategies in Special Economic Zones | Andres Leguizamon (Universidad Nacional de Colombia), Carlos Sanchez (Grupo de Estudios Fiscales y de Equidad), Sofia Ocampo (Grupo de Estudios Fiscales y de Equidad,), Una-May O'Reilly (Massachusetts Institute of Technology), Erik Hemberg (Massachusetts Institute of Technology) |
| EML | Multi-Objective Evolution of Patch Tokens for Tabular Transformers | Han Joon Byun (Seoul National University), Joon Huh (Seoul National University), Jieun Yook (Seoul National University), Byung-ro Moon (Seoul National University) |
| ENUM | S3-LRA-xNES: Step-size and Shape Separated Learning Rate Adaptation for Exponential Natural Evolution Strategy | Kosuke Ujihara (Institute of Science Tokyo), Masahiro Nomura (Institute of Science Tokyo), Isao Ono (Institute of Science Tokyo) |
| EML | When Fitness Is Cheap: Pareto-Based Evolutionary Optimisation for Lightweight Neural Architectures | Jingyue Cong (RMIT University), Kai Wei (Monash University), Yameng Peng (RMIT University), Yanan Sun (Sichuan University), Andy Song (RMIT University) |
| BBSR | Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking | Furong Ye (Leiden University), Frank Neumann (The University of Adelaide), Thomas Bäck (Leiden Institute of Advanced Computer Science), Niki van Stein (Leiden Institute of Advanced Computer Science) |
| GA | Dropout-Inspired Strategies For Enhanced Exploration In Evolutionary Algorithms | Daniele Ganci (LASIGE, Department of Informatics; Faculty of Sciences, University of Lisbon, Alma Mater Studiorum - Università di Bologna), Luís Correia (LASIGE, Department of Informatics; Faculty of Sciences, University of Lisbon) |
| EML | EvoBatch: A Mini-Batch, Compute-Constrained Evolutionary Algorithm Reduces the Generalization Gap in Deep Learning | Shahana Shultana (George Mason University), Toki Inan (George Mason University), Amarda Shehu (George Mason University) |
| RWA | Operational Decision Support for Evacuating Nursing Home Residents: A Hamburg Benchmark and Metaheuristic Comparison Under a 5-Minute Time Budget | Nick Alexander (HafenCity University Hamburg), Milva Tannenbaum (Ministry of the Interior and Sports), Jörg Rainer Noennig (HafenCity University Hamburg) |
| GA | Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra | Hendrik Richter (Leipzig University), Frank Neumann (University of Adelaide) |
| THEORY | Convergence Analysis of Evolution Strategies for Mixed-Integer Optimization | Ryoki Hamano (CyberAgent), Kento Uchida (Yokohama National University), Shinichi Shirakawa (Yokohama National University) |
| L4EC | Feature-Free Deep Learning for Combinatorial Optimization: An Empirical Study on NK-landscapes | Sarah Degaugue (Université de Lille, Inria Lille - Nord Europe), Bilel Derbel (Université de Lille, Inria Lille - Nord Europe) |
| ECOM | Vehicle Routing Problem with Resource-Constrained Pickup and Delivery: A Heuristic-Informed BRKGA with Pattern-Based Analysis | Manbir S. Sodhi (The University of Rhode Island), Romesh Satish Prasad (The University of Rhode Island) |
| THEORY | When Switching Algorithms Helps: A Theoretical Study of Online Algorithm Selection | Denis Antipov (CNRS, Sorbonne University), Carola Doerr (CNRS, Sorbonne University) |
| GECH | ProFiT: Program Search for Financial Trading | Matthew Siper (Nof1), Ahmed Khalifa (Nof1), Lisa Soros (Nof1), Muhammad Umair Nasir (Nof1), Julian Togelius (Nof1) |
| GP | From Six to Two: SLIM-DUO, a Simplified Extension of SLIM-GSGP | Liah Rosenfeld (Universidade Nova de Lisboa), Leonardo Vanneschi (NOVA IMS, Universidade Nova de Lisboa) |
| CS | Stability-Driven CPG Design for More Effective Quality-Diversity in Evolutionary Robotics | Matthias Pex (Ghent University), Dries Marzougui (Ghent University), Francis wyffels (Ghent University) |
| GA | Evolutionary Tunneling and Periodicity Across the Big Valley Distribution | Darrell Whitley (Colorado State University), Gabriela Ochoa (University of Stirling), Francisco Chicano (University of Málaga) |
| EMO | Adaptive Ensemble Multi-Objective Differential Evolution for High-Dimensional Gene Selection | Dhia eddine Bouazizi (FST, UTM), Asma Amdouni (FST,UTM), Daniel Rodriguez (Universidad de Alcalá), ghaith Manita (FST, LIPSIC) |
| GA | Evolving Robust Schedules: Advantages of Genetic Algorithms for FJSSP-W under Uncertainties | David Hutter (Vorarlberg University of Applied Sciences), Thomas Steinberger (Vorarlberg University of Applied Sciences), Michael Hellwig (Vorarlberg University of Applied Sciences) |
| BBSR | Benchmarking Interactive Multi-Criterion Decision-Making Procedures Following Machine Learning-Based Decision-Maker | Deepanshu Yadav (Michigan State University), Kalyanmoy Deb (Michigan State University) |
| EML | Multi-Objective Orchestration of Small Language Model Ensembles: Balancing Accuracy, Diversity, and Fairness | Advay Dhar (Jadavpur Unversity), Swagatam Das (Indian Statistical Institute), Kalyanmoy Deb (Michigan State University) |
| RWA | Survival Is Not Enough: Improving Glycemic Control with Sexual Selection | Nuno Lourenço (University of Coimbra, CISUC/LASI), Óscar Garnica (Universidad Complutense de Madrid, Bioinspired Intelligence S.L.), J. Ignacio Hidalgo (Universidad Complutense de Madrid, Bioinspired Intelligence S.L.) |
| ECOM | LLM Policy Induction for Heuristic Search Control: A Trace-Driven ALNS Framework | Tam Minh Nguyen (Ho Chi Minh City University of Technology) |
| RWA | Robust Evolutionary Optimization for Demand-Balanced Railway Route Design | George Brooks (Swansea University), Sean Walton (Swansea University), Markus Roggenbach (Swansea University), John Armstrong (University of Southampton), Alma Rahat (Loughborough University) |
| GECH | Energy-Aware Metaheuristics | Tomohiro Harada (Saitama University), Enrique Alba (University of Malaga), Gabriel Luque (University of Malaga) |
| SI | Particle Swarm Optimization with Population Dynamics - Artificial Splitting, Extinction, and Migration | Yutong Zou (Jinan Universtiy, University College London), Wenjun Wang (Jinan Universtiy), Wei Pang (Heriot-Watt University) |
| EML | Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models | Alkis Sygkounas (Örebro University), Amy Loutfi (Örebro University), Andreas Persson (Örebro University) |
| THEORY | Anytime Analysis on BinVal: Adaptive Parameters Help | Timo Kötzing (Hasso Plattner Institute, University of Potsdam), Jurek Sander (Hasso Plattner Institute, University of Potsdam) |
| GA | Limited Perfect Monotonical Surrogates constructed using low-cost recursive empirical linkage discovery with guaranteed output | Michal Witold Przewozniczek (Wroclaw University of Science and Technology), Francisco Chicano (University of Málaga), Marcin Michal Komarnicki (Wroclaw University of Science and Technology), Renato Tinós (University of São Paulo) |
| GECH | Discrete Self-Adaptation in Competitive Coevolutionary Algorithms | Steven Jorgensen (MIT, MIT Lincoln Laboratory), Jennifer Fairhurst (MIT), Erik Hemberg (MIT), Una-May O'Reilly (MIT) |
| L4EC | LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms | Wenhu Li (Leiden Institute of Advanced Computer Science), Niki van Stein (Leiden Institute of Advanced Computer Science), Thomas Bäck (Leiden Institute of Advanced Computer Science), Elena Raponi (Leiden Institute of Advanced Computer Science) |
| GP | Diversified Residual Symbolic Regression | Koki Ikeda (Institute of Science Tokyo, CyberAgent), Masahiro Nomura (Institute of Science Tokyo), Ryoki Hamano (CyberAgent) |
| BBSR | Constructing Streams of Optimization Instances for Benchmarking AAS and AAC in Streaming Scenarios | Margherita Battistotti (University of Manchester, University of Melbourne), Manuel López-Ibáñez (University of Manchester), Kate Smith-Miles (University of Melbourne), Julia Handl (University of Manchester), Mario Andrés Muñoz (University of Melbourne) |
| L4EC | Analyzing search behavior of population-based optimization algorithms using graph neural networks | Bartłomiej Walczak (AGH University of Krakow), Hubert Guzowski (AGH University of Krakow), Wojciech Achtelik (AGH University of Krakow), Maciej Smołka (AGH University of Krakow), Jacek Mańdziuk (Warsaw University of Technology, AGH University of Krakow) |
| NE | LsmGrid: A Data-Aware Neuroevolution Framework for Designing Minimal Liquid State Machines | Andrés Ignacio Romo (Universidad Politécnica de Madrid), José Andrés Otero (Universidad Politécnica de Madrid), José M. Lanza-Gutierrez (Universidad de Alcalá) |
| GECH | MixDiBB: Distributed Black-Box Optimization for Mixed-Parameter Search Spaces | Luca Rolshoven (University of Bern, Bern University of Applied Sciences), Matthias Stürmer (Bern University of Applied Sciences, University of Bern), Giuseppe Cuccu (exin.ai) |
| BBSR | Exploration of Pareto-preserving search-space transformations in multi-objective test functions | Diederick L. Vermetten (Sorbonne Université, CNRS, LIP6), Jeroen Rook (Paderborn University) |
| ENUM | Hierarchical Evolution Strategy for Optimization of Sharp Ridge | Sota Hamada (Yokohama National University), Yutaro Yamada (Yokohama National University), Kento Uchida (Yokohama National University), Shinichi Shirakawa (Yokohama National University) |
| RWA | Many-Objective Multiple TSP in Path-Influenced Environments using Evolutionary Optimization | Carlo Nübel (Otto von Guericke University Magdeburg), Sanaz Mostaghim (Otto von Guericke University Magdeburg, Fraunhofer IVI Dresden) |
| RWA | Anisotropic Random Feature Surrogate-Assisted Evolutionary Algorithm for High-Dimensional Risk-Based Energy Management Optimization | Jiaming Hu (Xiangtan University), Chixin Xiao (Xiangtan University), Limei Liu (Hunan University of Technology and Business), Maoxin He (Xiangtan University), Dechen Jiang (Xiangtan University) |
| CS | Tournament Informed Adversarial Quality Diversity | Timothée ANNE (IT University of Copenhagen), Noah Syrkis (IT University of Copenhagen), Meriem Elhosni (armasuisse Science+Technology), Florian Turati (armasuisse Science+Technology), Alexandre Manai (armasuisse Science+Technology), Franck Legendre (armasuisse Science+Technology), Alain Jaquier (armasuisse Science+Technology), Sebastian Risi (IT University of Copenhagen) |
| RWA | Exact and Heuristic Methods for Capacitated Path Planning for Agricultural Field Operations | Fabliha Zahin (University of Lethbridge), Shahadat Hossain (University of Northern British Columbia) |
| RWA | Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization | Haoran Yin (Leiden Institute of Advanced Computer Science), Shuaiqun Pan (Leiden Institute of Advanced Computer Science), Zhao Wei (Agency for Science, Technology and Research), Jian Cheng Wong (Agency for Science, Technology and Research), Yew-Soon Ong (Agency for Science, Technology and Research), Anna Kononova (Leiden Institute of Advanced Computer Science), Thomas Bäck (Leiden Institute of Advanced Computer Science), Niki van Stein (Leiden Institute of Advanced Computer Science) |
| L4EC | Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization | Zijian Gao (South China University of Technology), Zeyuan Ma (South China University of Technology), Yuanting Zhong (South China University of Technology), Yue-Jiao Gong (South China University of Technology), Hongshu Guo (South China University of Technology) |
| EMO | QUIVER: Cost-Aware Adaptive Preference Querying in Surrogate-Assisted Evolutionary Multi-Objective Optimization | Florian A.D. Burnat (University of Warwick) |
| ECOM | A Heterogeneous Ant Colony Framework with Semantic Manifold Learning for Dynamic Ore-Flow Blending | Hao Tang (China University of Geosciences), Changhe Li (Anhui University of Science & Technology), Guoyu Chen (Anhui University of Science & Technology), Shoufei Han (Anhui University of Science & Technology), Michalis Mavrovouniotis (Cyprus University of Technology), Miqing Li (University of Birmingham) |
| GP | Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation | Soumyadeep Dhar (Indian Institute of Technology Kharagpur), Kei Sen Fong (National University of Singapore), Mehul Motani (National University of Singapore) |
| L4EC | MODE: Manifold Operator Decoding Embeddings for Neural Neighborhood Search for Vehicle Routing Problems | Xiangling Chen (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| NE | Measuring Intrinsic Dimension of Multiobjective Landscapes and Dimensionality-Reduced Neuroevolution of Deep Reinforcement Learning | oladayo Solomon Ajani (Kyungpook National University), Jeonggeun Kim (Kyungpook National University), Jong Taek Lee (Kyungpook National University), Byungchul Tak (Kyungpook National University) |
| EMO | On Reference Set Selection for Constrained Multiobjective Optimization Problems | Tea Tušar (Jožef Stefan Institute), Luka Opravš (Jožef Stefan Institute), Dimo Brockhoff (Inria Saclay–Île-de-France, CMAP, Ecole Polytechnique) |
| RWA | Adaptive Grid-Based Multi-Objective Evolutionary Optimization for Coordinated Truck–Drone Routing with Backhauls | Bui Xuan Son (Hanoi University of Science and Technology), Nguyen Thi Ha (VNU University of Science), Nguyen Tien Dang (Hanoi University of Science and Technology), Bui Trong Duc (Hanoi University of Science and Technology), Huynh Thi Thanh Binh (Hanoi University of Science and Technology) |
| EML | Investigating Robustness in Vision-Language Models via Adversarial Prompt Illumination | Thai Huy Nguyen (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)), Khoa Tran (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)), Quan Minh 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)) |
| EML | Evolutionary Mapping of Neural Networks to Spatial Accelerators | Alessandro Pierro (LMU Munich, Intel Corporation), Jason Yik (Harvard), Jonathan Timcheck (Intel Corporation), Marius Lindauer (L3S Research Center, Leibniz University Hannover), Eyke Hüllermeier (MCML, LMU Munich, DFKI), Marcel Wever (L3S Research Center, Leibniz University Hannover) |
| EMO | Simultaneous Approximation of Constraint-Specific Pareto Fronts by Constraint-Decomposed Push and Pull Search | Ryo Takamiya (The University of Electro-Communications), Minami Miyakawa (The University of Electro-Communications), Keiki Takadama (The University of Tokyo), Hiroyuki Sato (University of Electro-Communications) |
| EML | Distributional Value Estimation Without Target Networks for Robust Quality-Diversity | Behrad Koohy (luffy.ai, University of Southampton), Jamie Thurston Bayne (luffy.ai) |
| RWA | Evolving Macro-Actions for Monte Carlo Tree Search in Real-Time Domains | Andrew Douglas Ptolemy Gourley (RMIT University), Michael Dann (Viewa Ltd.), Xiaodong Li (RMIT University), Fabio Zambetta (RMIT University) |
| EML | Value Consistency Prioritization for Accelerating Knowledge Discovery in Sparse Reward Anticipatory Classifier Systems | Olgierd Unold (Wroclaw University of Science and Technology), Jan Zemło (Wroclaw University of Science and Technology) |
| EMO | Stable Normalization for Preference-based Subset Selection with an Unbounded External Archive | Yuta Nakanishi (Mitsubishi Electric Corporation), Mamoru Doi (Mitsubishi Electric Corporation), Yusuke Yasuda (Mitsubishi Electric Corporation), Hiroyuki Sato (The University of Electro-Communications) |
| L4EC | Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization | Wenjie Qiu (South China University of Technology), Hao Guo (South China University of Technology), Zeyuan Ma (South China University of Technology), Yue-Jiao Gong (South China University of Technology) |
| RWA | BACE: LLM-based Code Generation through Bayesian Anchored Co-Evolution of Code and Test Populations | Kaushitha Silva (WSO2), Srinath Perera (WSO2) |
| GP | A Boundary-Aware Multi-Objective Genetic Programming Classifier with Stacking-Based Integration | Kaiwei Yuan (Hebei Agricultural University), Xiaoying Gao (Victoria University of Wellington), Jianbin Ma (Hebei Agricultural University) |
| EML | EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent | Dongxin Guo (The University of Hong Kong), Jikun Wu (Stellaris AI Limited), Siu Ming Yiu (The University of Hong Kong) |
| ECOM | A Granular Ball–Ant Colony Optimization Framework Enhanced by Variable Neighborhood Search for the Multi-Depot Half-Open Time-Dependent EVRP | Yingkai Xu (Babes-Bolyai University, Zhejiang University of Science and Technology), Anikó Kopacz (Babes-Bolyai University), Camelia Chira (Babes-Bolyai University) |
| GECH | Digital Red Queen: Adversarial Program Evolution in Core War with LLMs | Akarsh Kumar (MIT, Sakana AI), Ryan Bahlous-Boldi (MIT), Prafull Sharma (MIT), Phillip Isola (MIT), Sebastian Risi (Sakana AI), Yujin Tang (Sakana AI), David Ha (Sakana AI) |
| GECH | Automatically Designing Novel Evolutionary Architectures | Braden N. Tisdale (Auburn University), Daniel R. Tauritz (Auburn University), Aaron Scott Pope (Los Alamos National Laboratory) |
| EML | Phase-Alternation and Tree-Initialization to Facilitate Interpretable Rule-based Machine Learning | Gabriel Lipschutz-Villa (University of Pennsylvania), Harsh Bandhey (Cedars Sinai Health Sciences University), Khoi Dinh (University of Pennsylvania), Michael Heider (Universität Augsburg), Malek Kamoun (University of Pennsylvania), Ryan J. Urbanowicz (Cedars Sinai Health Sciences University) |
| ENUM | Effect of Mirrored Orthogonal Sampling for CMA-ES on Multimodal Problems | Kaito Nakatani (Institute of Science Tokyo), Masahiro Nomura (Institute of Science Tokyo), Isao Ono (Institute of Science Tokyo) |
| SI | Dynamic Descriptor Mutations Improve Automated Quality-Diversity | Reece Van Der Bank (University of Cape Town), Geoff Nitschke (University of Cape Town, University of Cape Town) |
| EML | Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification | Jamal Toutouh (Universidad de Málaga, Massachusetts Institute of Technology) |
| SI | Automated PSO Configuration Framework via Deep Neural Networks and Function Landscape Descriptors | Yutong Zou (University College London), Peter J. Bentley (University College London) |
| GP | A Comparative Study of Model Selection Criteria for Symbolic Regression | Ali Soltani (Aarhus University), Gabriel Kronberger (University of Applied Science Upper Austria), Fabricio Olivetti de Franca (Federal University of ABC), Mattia Billa (University of Modena and Reggio Emilia), Alessandro Lucantonio (Aarhus University) |
| GP | Generalization Analysis of Symbolic Regression Algorithms via Stability Theory | Kei Sen Fong (National University of Singapore), Mehul Motani (National University of Singapore) |
| ECOM | GRASP-RVND Metaheuristic for Traveling Salesman Problem with Drone Launch Station Location | Tarcisio Barroso Marques (Universidades Federal de Vicosa), Jose Elias Claudio Arroyo (Universidade Federal de Vicosa) |
| GP | Evolving Dispatching Rules for the Unrelated Parallel Machine Scheduling Problem with Precedence and Resource Constraints with Genetic Programming | Josipa Sabljo (School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek), Mateja Đumić (School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek), Marko Đurasević (University of Zagreb, Faculty of Electrical Engineering and Computing) |
| RWA | Evolutionary‑Driven Bayesian Optimization for Automated Molecular Docking with AutoDock Vina | Alejandro Lopez-Rincon (Utrecht University), Brigitta Varga (University of Amsterdam), David Rojas-Velazquez (University of Utrecht), Alberto Tonda (INRAE) |
| GP | Evolving Hardware-Efficient Grover Circuits with Grammatical Evolution | Arinze Obidiegwu (University of Limerick), Douglas Mota Dias (Atlantic Technological University), Emmanuel Obidiegwu (Independent Researcher) |
| GECH | Interactive LLM-assisted curriculum learning for multi-task policy search | Berfin Sakallioglu (University of Trieste), Giorgia Nadizar (University Toulouse Capitole), Eric Medvet (University of Trieste) |
| ECOM | Interpretable Algorithm Selection via Multi-Objective Evolutionary Decision Trees | Matheus Guedes Vilas Boas (Universidade Federal de Ouro Preto), Elizabeth Wanner (CSDT School, Aston University, Birmingham, PPGMMC, CEFET-MG, Brazil), Gladston Juliano Prates Moreira (Universidade Federal de Ouro Preto) |
| EMO | Multi-objective Local Optima Networks based on Decomposition | Gabriela Ochoa (University of Stirling, University of Stirling), Quentin Renau (University of Stirling), Arnaud Liefooghe (LISIC, Université du Littoral Côte d'Opale), Jonathan E. Fieldsend (University of Exeter) |
| RWA | Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems | Diego Daniel Pedroza-Perez (ITIS Software, Universidad de Málaga), Gabriel Luque (ITIS Software, Universidad de Málaga), Sergio Nesmachnow (Universidad de la República), Jamal Toutouh (ITIS Software, Universidad de Málaga) |
| THEORY | A Generic Framework for Optimisation under Uncertainty with Recourse: Theory and Examples | Joshua Knowles (SLB), Per Kristian Lehre (University of Birmingham), Shishen Lin (University of Warwick), Frank Neumann (University of Adelaide), Janina Schreiber (Helmholtz Zentrum Dresden Rossendorf), Christine Zarges (Aberystwyth University) |
| EMO | Deep Reinforcement Learning Based Environmental and Mating Selection for Evolutionary Multi-objective Optimization | Cheng-Je Tsai (National Taiwan Normal University), Tsung-Che Chiang (National Taiwan Normal University) |
| EMO | On the Use of Bi-Objective Evolutionary Algorithms for Stochastic Multiple Knapsack Problem under Dynamic Constraints | Ishara Hewa Pathiranage (Adelaide University), Aneta Neumann (Adelaide University) |
| GP | Fitness Landscape Analysis of Grammatical Evolution Models for Glucose Prediction | Jose Manuel Velasco (Universidad Complutense, Bioinspired Intelligence S.L.), Daniel Parra (Complutense University of Madrid), Oscar Garnica (Complutense University of Madrid, Bioinspired Intelligence S.L.), J. Ignacio Hidalgo (Complutense University of Madrid, Bioinspired Intelligence S.L.) |
| EMO | Bi-objective Stochastic Simulation Optimization on Integer Lattices via Scalarization | Sebastian Rojas Gonzalez (Ghent University-imec, Hasselt University), Joshua Knowles (Schlumberger Cambridge) |
| EML | Wave-GA: Cyclical Evolutionary Optimization for Streaming Classification with Emerging Labels | Giannis Vassiliou (Hellenic Mediterranean University), Georgia Eirini Trouli (Hellenic Mediterranean University), Sotirios Batsakis (Hellenic Mediterranean University), Haridimos Kondylakis (University of Crete, Foundation Of Research and Technology (FORTH)) |
| NE | Asynchronous Neuro-Evolutionary Symbolic Regression with Maturity-Based Replacement | Jiří Kubalík (Czech Technical University in Prague), Naďa Fučelová (Czech Technical University in Prague), Robert Babuška (Czech Technical University in Prague, Technical University of Delft) |
| CS | What Are the Ingredients of Open-Endedness? Replicating Picbreeder with Large Vision-Language Models | Sam Earle (New York University), Kai Arulkumaran (Sakana AI), Akarsh Kumar (Massachusetts Institute of Technology), Andrew Dai (Independent), Julian Togelius (New York University), Sebastian Risi (Sakana AI) |