GECCO 2025 | Accepted Papers

The review process is now complete: 104 contributions have been accepted as workshop papers and posters. They will be published in the Companion Volume (and hence in the Digital Library) and presented during the workshop sessions of the conference.
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List of Accepted Workshop Papers and Posters

Track	Title	Authors
NEWK	Unveiling the Search Space of Simple Contrastive Graph Clustering with Cartesian Genetic Programming	Maciej Krzywda (AGH University of Krakow), Yue Liu (National University of Singapore), Szymon Łukasik (AGH University of Krakow), Amir H. Gandomi (University of Technology Sydney)
QuantOpt	Steiner Traveling Salesman Problem with Quantum Annealing	Alessia Ciacco (University of Calabria), Francesca Guerriero (University of Calabria), Eneko Osaba (Tecnalia Research & Innovation)
LAHS 2025	Visualising Adam Oscillations in Neural Network Loss Landscapes	Henri van der Grijp (University of Pretoria), Anna Sergeevna Bosman (University of Pretoria), Katherine Mary Malan (University of South Africa)
QuantOpt	Quantum Annealing for Bi-objective Weighted Portfolio Optimization in Real-world Financial Markets	Shu-Yu Kuo (National Taiwan University), Kun-Lin Lee (National Chi Nan University), Yao-Hsin Chou (National Chi Nan University, National Center for Theoretical Sciences), Jyun-Yi Shen (National Chi Nan University), Sy-Yen Kuo (National Taiwan University, Chang Gung University)
ECXAI	Local Optima Networks (LONs) and Search Trajectory Networks (STNs) for Noisy Combinatorial Problems	John Payne (University of Exeter), . Aishwaryaprajna (University of Exeter), David Walker (University of Exeter), Edward Keedwell (University of Exeter)
GGP	Towards Efficient Semantic Mutation in CGP: Enhancing SOMOk	Lukas Plevac (Brno University of Technology), Zdenek Vasicek (Brno University of Technology)
LLMfwEC	Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery	Haoran Yin (Leiden Institute of Advanced Computer Science), Anna V. Kononova (Leiden Institute of Advanced Computer Science), Thomas Bäck (Leiden Institute of Advanced Computer Science), Niki van Stein (Leiden Institute of Advanced Computer Science)
EvoSelf	Time-Modulated Hebbian Learning for Classic Control Tasks	Daniel García Núñez (Maynooth University, Hamilton Institute), Fergal Stapleton (Maynooth University, Hamilton Institute), Edgar Galván (Maynooth University)
DTEO	The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing	Anton Bouter (Centrum Wiskunde & Informatica (CWI)), Dirk Thierens (Utrecht University), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI))
LLMfwEC	Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control	Nam Le (University of Vermont), Patrick Erickson (Tufts University), Zhang Yanbo (Tufts University), Michael Levin (Tufts University), Josh Bongard (University of Vermont)
EvoSelf	A Study on Morphological and Behavioral Adaptations from Multi-Task Morphoevolution by Voxel-based Soft Robots	Ashwin V A (Amrita Vishwa Vidyapeetham), Harish G M (Amrita Vishwa Vidyapeetham), Jayadev D (Amrita Vishwa Vidyapeetham), Shunmuga Velayutham C (Amrita Vishwa Vidyapeetham)
NEWK	Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution	Jack Garbus (Brandeis University), Jordan Pollack (Brandeis University)
IAM 2025	Multi-objective Optimisation of Floating Offshore Wind Farms based on a Real-World Case Study	Pawel L. Manikowski (University of Plymouth), David J. Walker (University of Exeter), Matthew J. Craven (University of Plymouth)
EGM	Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms	Walter Casas (Universidad de Málaga), Jamal Toutouh (Universidad de Málaga, Massachusetts Institute of Technology)
NEWK	Evaluating Encoding of Neuron Configuration and Position in Neuroevolution of Liquid State Machines	Carlos-Alberto López-Herrera (University of Veracruz), Héctor-Gabriel Acosta-Mesa (University of Veracruz), Efrén Mezura-Montes (University of Veracruz)
ECXAI	A Better Multi-Objective GP-GOMEA - But do we Need it?	Joe Harrison (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University Medical Center), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI))
DTEO	Towards a Penalty Annealing Approach in MOEA/D for Constrained Multi-Objective Optimization	Miguel Ángel Jiménez-Domínguez (Instituto Nacional de Astrofísica, Óptica y Electrónica), Néstor Andrés García-Rojas (Instituto Nacional de Astrofísica, Óptica y Electrónica), Saúl Zapotecas-Martínez (Instituto Nacional de Astrofísica, Óptica y Electrónica), Raquel Díaz-Hernández (Instituto Nacional de Astrofísica, Óptica y Electrónica), Leopoldo Altamirano-Robles (Instituto Nacional de Astrofísica, Óptica y Electrónica), Bilel Derbel (University Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL)
SymReg	A Hierarchical Multiview Symbolic Regression Method for Decoding Oceanic Metabolism	Hernan Lira (Inria Chile), Luis Martí (Inria Chile), Nayat Sanchez-Pi (Inria Chile)
EvoSelf	Evolvability in Rule-Making: A Self-Amendment Game Among LLM Agents	Kazuya Horibe (RIKEN)
BBOB 2025	On the Robustness of Nelder-Mead to Positive and Negative Noise Outliers with Heavy-Tails on the BBOB Test Suite	Alexandre Adrien Chotard (Université du Littoral Côte d'Opale), Anne Auger (Inria Saclay–Île-de-France)
QuantOpt	A Variational Quantum Algorithm for the Permutation Flow Shop Scheduling Problem	Marco Baioletti (University of Perugia), Fabrizio Fagiolo (CNR ISTC), Angelo Oddi (CNR ISTC), Riccardo Rasconi (CNR ISTC)
EvoOSS	pyHMS: A Python Library for Hierarchic Memetic Strategy	Wojciech Achtelik (AGH University of Krakow), Hubert Guzowski (AGH University of Krakow), Maciej Smołka (AGH University of Krakow)
EvoSelf	Morphology-Adaptive Muscle-Driven Locomotion via Attention Mechanisms	Junior Rojas (Independent Researcher)
IWERL	GPU-Accelerated Rule Evaluation and Evolution	Hormoz Shahrzad (Cognizant, University of Texas at Austin), Risto Miikkulainen (Cognizant, University of Texas at Austin)
WS - Student Workshop	Noise Resilient Quantum Circuit Design by Multi-Objective Genetic Algorithm	Christian Wood (University of Exeter), Alberto Moraglio (University of Exeter)
WS - Student Workshop	The Specificity vs. Expense Trade-Off of Multiagent Credit	Raghav Thakar (Oregon State University), Kagan Tumer (Oregon State University)
WS - Student Workshop	Evaluation of Sensitivity Analysis of Penalty Weights in QUBO	Jiajie Liu (University of Exeter), Alberto Moraglio (University of Exeter)
IWERL	Dimensionality Reduction for Enabling Visual Reinforcement Learning with a Classifier System	Connor Schönberner (Kiel University), Armin Mackensen (Kiel University), Sven Tomforde (Kiel University)
ECXAI	A Step towards Interpretable Multimodal AI Models with MultiFIX	Mafalda Malafaia (Centrum Wiskunde & Informatica (CWI), Delft University of Technology), Thalea Schlender (Leiden University), Tanja Alderliesten (Leiden University), Peter A. N. Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology)
SymReg	Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?	Fitria Wulandari Ramlan (University of Galway), Colm O'Riordan (University of Galway), Gabriel Kronberger (University of Applied Sciences Upper Austria), James McDermott (University of Galway)
IWERL	A Proposal for a Leaner Narrative of Learning Classifier Systems	Pier Luca Lanzi (Politecnico di Milano), Daniele Loiacono (Politecnico di Milano)
IWERL	Why state differentiation in ACS2 is not enough in aliased environments	Mateusz Łabędzki (Bell Labs Nokia), Olgierd Unold (Wroclaw University of Technology)
LAHS 2025	Algorithm Explainability for Malware Evolution with Search Trajectory Networks	Kehinde Babaagba (Edinburgh Napier University), Ritwik Murali (Amrita University), Sarah L. Thomson (Edinburgh Napier University, Sarah L. Thomson)
AABOH	Evolving to Extinction: a Case Study in Heuristic Search Dynamics	James McDermott (University of Galway), Kostadin Dimanov Georgiev (University of Galway), Miguel Nicolau (University College Dublin)
EvoOSS	logicGP - A Framework for Literal Based Classification with a Focus on Software Architecture and Open Source Implementation	Robin Nunkesser (Hamm-Lippstadt University of Applied Sciences)
BBOB 2025	Benchmarking Seven Multi-objective Optimization Methods from the PlatEMO Platform on the bbob-biobj Test Suite	David Ibehej (Brno University of Technology), Jakub Kudela (Brno University of Technology)
WS - Student Workshop	Efficient Waste Collection Routing Using F-CVRP and Dynamic Parameter Optimization via Q-Learning	Yogesh Kumar (Indian Institute of Technology Roorkee), Prakhar Gupta (Indian Institute of Technology Roorkee), Karuna Panwar (Indian Institute of Technology Roorkee), Kusum Deep (Indian Institute of Technology Roorkee)
BBOB 2025	On the Robustness of BFGS to Positive and Negative Noise Outliers on the BBOB Test Suite	Alexandre Chotard (Université du Littoral Côte d'Opale), Anne Auger (Inria Saclay–Île-de-France)
IWERL	How to Design an LCS to Create Explainable AI Models for Real-World Applications	Michael Heider (Universität Augsburg)
EvoSelf	A Path to Universal Neural Cellular Automata	Gabriel Béna (Imperial College London), Maxence Faldor (Imperial College London), Dan Goodman (Imperial College London), Antoine Cully (Imperial College London)
LLMfwEC	LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection	YiMing Yu (Georgia Institute of Technology), Jason Paul Zutty (Georgia Tech Research Institute)
AABOH	Tracing Genome Influence in Multi-Objective Evolutionary Algorithms	Tobias Benecke (Otto von Guericke University), Sanaz Mostaghim (Otto von Guericke University)
LAHS 2025	Towards Benchmarking Multi-Objective Optimization Algorithms Based on the Basin Connectivity	Ryosuke Ota (Kyushu University), Likun Liu (Kyushu University), Naoki Hamada (KLab Inc.), Takahiro Yamamoto (Tokyo Gakugei University), Shoichiro Tanaka (The Univerisity of Fukuchiyama), Daisuke Sakurai (Fujitsu Limited)
WS - Student Workshop	Towards Automated and Interpretable Decision Support Systems for Precision Livestock Farming Using Evolutionary Computing	Elisabeth Mayrhuber (University of Applied Sciences Upper Austria, TU Wien), Stephan Winkler (University of Applied Sciences Upper Austria)
IAM 2025	Grammatical Evolution for Temperature Prediction Models in Different Photovoltaic Technologies	Alexander Cortés-Llanos (Rey Juan Carlos University), Lucía Serrano-Lujan (Rey Juan Carlos University), Carlos Toledo (Murcian Institute of Agricultural and Environmental Research and Development), Antonio Urbina (Public University of Navarra), J. Manuel Colmenar (Rey Juan Carlos University)
AABOH	Correlated Geometric Mutations for Integer Evolution Strategies	Ofer M. Shir (Tel-Hai College, The Galilee Research Institute - Migal), Michael Emmerich (University of Jyväskylä)
QuantOpt	The Quantum Approximate Optimization Algorithm Can Require Exponential Time to Optimize Linear Functions	Francisco Chicano (ITIS Software, University of Malaga), Zakaria Abdelmoiz Dahi (Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL), Gabriel Luque (ITIS Software, University of Malaga)
EGM	Open-Ended Evolution of Artistic Styles in Diffusion Models via Island-Based Genetic Algorithms	Marcel Salvenmoser (University of Applied Sciences Upper Austria, winkk GmbH), Michael Affenzeller (University of Applied Sciences Upper Austria)
BBOB 2025	How Robust is UOBYQA to Worsening, Frozen Noise? Investigations on the bbob Test Suite With Outliers	Dimo Brockhoff (Inria, Ecole Polytechnique, IP Paris), Tanguy Villain (CentraleSupélec, ESSEC)
GGP	On Chromosome Crossover in Multimodal Adaptive Graph Evolution	Camilo De La Torre (Universite Toulouse Capitole), Sylvain Cussat-Blanc (Universite Toulouse Capitole), Hervé Luga (Université Toulouse Jean Jaures), Dennis George Wilson (ISAE-Supaero, Université de Toulouse), Yuri Lavinas (Université de Toulouse)
EGM	A Voxel Representation Based Evolutionary Data Generator of Adversarial Objects for AI Agents	Akshay . (Syracuse University)
WS - Student Workshop	LLM-aided Evolutionary Algorithms for Haiku Generation	Vedant Dhaval Jobanputra (Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham), Basam Thilaknath Reddy (Amrita Vishwa Vidyapeetham), Sri Ganesh Bhojanapalli (Amrita Vishwa Vidyapeetham), Krishna Aditya S.V.S (Amrita Vishwa Vidyapeetham), Bagavathi Chandrasekara (Amrita Vishwa Vidyapeetham), Ritwik Murali (Amrita Vishwa Vidyapeetham)
SymReg	Rewarding Model Smoothness and Simplicity via Alternating Objectives in Symbolic Regression	Nathan Haut (Michigan State University), Mark Kotanchek (Evolved Analytics LLC)
QuantOpt	Encoding Binary Comparison Constraints in QUBO for Quantum Annealing	Philippe Codognet (Sorbonne University, CNRS, University of Tokyo)
LLMfwEC	Regarding Context Size in LLM-Based Metaheuristic Design	Adam Viktorin (Tomas Bata University in Zlin), Michal Pluhacek (AGH University of Krakow), Jozef Kovac (Tomas Bata University in Zlin), Tomas Kadavy (Tomas Bata University in Zlin), Roman Senkerik (Tomas Bata University in Zlin)
QuantOpt	Comparative Analysis of Classical and Quantum-Inspired Solvers: A Preliminary Study on the Weighted Max-Cut Problem	Aitor Morais (University of Deusto), Eneko Osaba (Tecnalia), Iker Pastor (University of Deusto), Izaskun Oregi (Tecnalia)
SAEOpt	Surrogate Model-Based Multi-Objective Optimization Using Desirability Functions	Thomas Bartz-Beielstein (TH Köln/Institute for Data Science, Engineering, and Analytics)
BBOB 2025	BEACON: Continuous Bi-objective Benchmark problems with Explicit Adjustable COrrelatioN control	Samuel Tebbet (University of Exeter), George De Ath (University of Exeter), Tinkle Chugh (University of Exeter)
SAEOpt	Performance Benchmarking of Multi-Objective Surrogate-Assisted Evolutionary Algorithms on a Novel Computational Fluid Dynamics Test Case	Benjamin Moore (University of Exeter), Andrew Roberts (Hydro International), Daniel Jarman (Hydro International), Alma Rahat (Swansea University), Jonathan Fieldsend (University of Exeter), Gavin Tabor (University of Exeter)
LLMfwEC	BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics	Niki van Stein (Leiden University), Anna V. Kononova (Leiden University), Haoran Yin (Leiden University), Thomas Bäck (Leiden University)
LLMfwEC	LEAR: LLM-Driven Evolution of Agent-Based Rules	Can Gurkan (Northwestern University), Narasimha Karthik Jwalapuram (Northwestern University), Kevin Wang (Northwestern University), Rudy Danda (Northwestern University), Leif Rasmussen (College of DuPage), John Chen (Northwestern University), Uri Wilensky (Northwestern University)
EGM	Three-objective evolutionary search of the latent space of Generative Adversarial Networks for human face generation	Sergio Nesmachnow (Universidad de la República), Pedro Moreno (Universidad Autónoma del Estado de Morelos)
IAM 2025	Memory-Assisted Genetic Algorithm for Signal Timing Optimization in Traffic Networks	Sahar Kianian (University of Exeter), Edward Keedwell (University of Exeter), Aidan Bennett (City Science)
BBOB 2025	Benchmarking Powell's Legacy: Performance of Five Derivative-Free Solvers in pdfo on the bbob Test Suite	Dimo Brockhoff (Inria, Ecole Polytechnique, IP Paris), Tanguy Villain (CentraleSupélec, ESSEC)
GGP	Linear Genetic Programming for Design Graph Neural Networks for Node Classification	Maciej Krzywda (AGH University of Krakow), Szymon Łukasik (AGH University of Krakow), Amir H. Gandomi (University of Technology Sydney)
ECADA 2025	Genetic Improvement of Dynamic Optimization Algorithms using PushGP	Vladimir Stanovov (Reshetnev Siberian State University of Science and Technology), Eugene Semenkin (Bauman Moscow State Technical University)
IAM 2025	Nested Multi-objective Model Updating for an Aircraft Wingtail Digital Twin	Jake Hollins (University of Exeter), Kostantinos Agathos (University of Exeter), Tinkle Chugh (University of Exeter)
ECXAI	Interpreting Machine Learning Pipelines Produced by Evolutionary AutoML for Biochemical Property Prediction	Alex G. C. de Sa (Baker Heart and Diabetes Institute, University of Queensland), Gisele L. Pappa (Universidade Federal de Minas Gerais), Alex A. Freitas (University of Kent), David B. Ascher (University of Queensland, Baker Heart and Diabetes Institute)
SymReg	Continuous Pruning for Symbolic Regression	Bernhard Werth (University of Applied Sciences Upper Austria, Johannes Kepler University Linz), Michael Affenzeller (University of Applied Sciences Upper Austrii, Johannes Kepler University Linz)
SAEOpt	A Novel Mesh Deformation Methodology for Computational Aerodynamic Shape Optimisation	Joelle Salamoun (Swansea University), Ben Hickling Smith (Swansea University), Ben Evans (Swansea University), Sean Walton (Swansea University)
SAEOpt	From 'How Good?' to 'Is it Better?': Classification-Based Surrogate Models for JADE	Konrad Krawczyk (Warsaw University of Technology), Jarosław Arabas (Warsaw University of Technology)
IWERL	Evolving Modular Abstractions through Lateralized Learning in Classifier Systems	Abubakar Siddique (Wellington Institute of Technology), Muhammad Iqbal (Higher Colleges of Technology), Will N. Browne (Queensland University of Technology), Gina M. Grimshaw (Victoria University of Wellington)
WS - Student Workshop	School Bus Routing for Pupils with Special Needs Under Uncertainty: An Averaging Approach	Ozioma Paul (Alliance Manchester Business School), Julia Handl (Alliance Manchester Business School), Manuel Lopez-Ibanez (Alliance Manchester Business School)
EC + DM	Urban Transport Decision Making: Improving Traffic Prediction with Symbolic Regression, Transfer Learning and Deep Learning	Alina Patelli (Aston University), John Rego Hamilton (Aston University), Aniko Ekart (Aston University)
WS - Student Workshop	Automated Generation of Trajectory-based Metaheuristics for Capacitated Vehicle Routing	Pablo Contreras Estrada (Pontificia Universidad Católica de Valparaíso, Universite libre de Bruxelles), Thomas Stützle (Universite libre de Bruxelles), Leslie Pérez Cáceres (Pontificia Universidad Católica de Valparaíso)
BBOB 2025	Benchmarking Improved Variants of CMA-ES-PDM on the bbob-mixint Testbed	Duc Manh Nguyen (Hanoi National University of Education)
IAM 2025	GRASP Metaheuristic for Energy-efficient Drone Coverage Path Planning	Bárbara Cristina Fonseca de Souza (Universidade Federal de Vicosa), Tarcisio Barroso Marques (Universidade Federal de Vicosa), Jose Elias Claudio Arroyo (Universidade Federal de Vicosa)
SymReg	When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification	Alberto Tonda (INRAE, Université Paris-Saclay), Hengzhe Zhang (Victoria University of Wellington), Qi Chen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington), Evelyne Lutton (INRAE, Université Paris-Saclay)
IAM 2025	Evolutionary Adaptive Stress Testing for Collision Avoidance in Sustainable Maritime Transportation	Thomas Steenfeldt Laursen (Norwegian University of Science and Technology), Ole Jakob Mengshoel (Norwegian University of Science and Technology)
EvoOSS	SEvoBench: A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking	Yongkang Yang (University of Science And Technology Liaoning), Jian Zhao (University of Science And Technology Liaoning), Tengfei Yang (University of Science And Technology Liaoning)
SAEOpt	Automated Prediction of Compressor Performance Maps: Surrogate-Based Optimization with RNNs for Enhanced Extrapolation and Interpolation	Richard Schulz (TH Köln - IDE+A Institute), Alexander Hinterleitner (TH Köln - IDE+A Institute), Noah Christoph Pütz (TH Köln - IDE+A Institute), Jens Uwe Brandt (TH Köln - IDE+A Institute), Matthias Müller (MAN ES), Thomas Bartz-Beielstein (TH Köln - IDE+A Institute)
SymReg	Model Recovery in Symbolic Regression: Theory, Conjectures, and Open Questions	Erik-Jan Senn (University of St.Gallen)
ECADA 2025	How to Train Algorithm Selection Models: Insights from Black-box Continuous Optimization	Xiao He (Nanjing University), Haopu Shang (Nanjing University), Chao Qian (Nanjing University)
EvoSelf	Self-Organizing Models of Brain Wiring: Developmental Programs for Evolving Intelligence	Jamieson Warner (University of Texas at Austin, Cognizant), Risto Miikkulainen (University of Texas at Austin, Cognizant)
QuantOpt	On "Solving The Travelling Salesman Problem Using A Single Qubit" vs. Quantum Genetic Optimization: Are we there?	Hamza Baniata (University of Szeged)
SymReg	SCRBenchmark: A Benchmarking Library for Shape-Constrained Regression	Florian Bachinger (University of Applied Sciences Upper Austria, Johannes Kepler University), Bernhard Werth (University of Applied Sciences Upper Austria, Johannes Kepler University), Jan Zenisek (University of Applied Sciences Upper Austria, Johannes Kepler University), Christian Haider (University of Applied Sciences Upper Austria), Fabricio Olivetti de Franca (Federal University of ABC)
GGP	Evolving Typed Token Processing Networks	Berfin Sakallioglu (University of Trieste), Giorgia Nadizar (University of Trieste), Luca Manzoni (University of Trieste), Eric Medvet (University of Trieste)
ECXAI	Evaluating a Novel Explainability Method for Metaheuristics via a User Study	GianCarlo Antonino Pasquale Ignazio Catalano (University of Stirling), Sandy Elias Ian Brownlee (University of Stirling), David Cairns (University of Stirling), John McCall (Robert Gordon University), Russell Ainslie (British Telecom)
IAM 2025	A Hybrid Constrained Programming with Genetic Algorithm for the Job Shop Scheduling Problem	Alessandro Lorenzi (University of Trento), Stefano Genetti (University of Trento), Chiara Camilla Rambaldi Migliore (University of Trento, University of Pisa), Marco Roveri (University of Trento), Giovanni Iacca (University of Trento)
EvoSelf	On the Parallels Between Evolutionary Theory and the State of AI	Zeki Doruk Erden (EPFL), Boi Faltings (EPFL)
SAEOpt	Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations	Shuaiqun Pan (LIACS, Leiden University), Diederick Vermetten (LIACS, Leiden University), Manuel López-Ibáñez (University of Manchester), Thomas Bäck (LIACS, Leiden University), Hao Wang (LIACS, Leiden University)
QuantOpt	Lookalike Clustering for Customer Segmentation: a Comparative Study of Quantum Annealing and Classical Algorithms	Benedetta Ferrari (University of Modena and Reggio Emilia), Giuseppe Gnocchi (Credem), Manuel Iori (University of Modena and Reggio Emilia), Simone Mascaro (University of Modena and Reggio Emilia), Mirko Mucciarini (University of Modena and Reggio Emilia), Luca Rinaldi (Credem), Gianluigi Salerno (Credem), Vittorio Tartarini (Credem), Andrea Vezzani (Credem)
ECADA 2025	Learning the Particle Swarm Optimization Velocity Update via Genetic Programming	Frederico J.J.B. Santos (University of Trieste), Andrea De Lorenzo (University of Trieste), Luca Manzoni (University of Trieste), Gloria Pietropolli (University of Trieste)
EvoOSS	Design, Containerization and Performance of Distributed Evolutionary Computation	Jan Zenisek (University of Applied Sciences Upper Austria, Johannes Kepler University), Florian Bachinger (University of Applied Sciences Upper Austria, Johannes Kepler University), Christian Haider (University of Applied Sciences Upper Austria), Florian Holzinger (University of Applied Sciences Upper Austria), Philipp Neuhauser (University of Applied Sciences Upper Austria), Erik Pitzer (University of Applied Sciences Upper Austria), Stefan Wagner (University of Applied Sciences Upper Austria), Michael Affenzeller (University of Applied Sciences Upper Austria, Johannes Kepler University)
WS - Student Workshop	Efficient Pretrained Model for Surrogate-assisted High-Dimensional Expensive Multi-objective Optimization	Jiajun Li (Jiangnan University), Shuwei Zhu (Jiangnan University), Wei Fang (Jiangnan University)
EvoSelf	Self-organized Swarm Reinforcement Learning under Spontaneous Communications	Qihao Shan (Otto-von-Guericke University), Sanaz Mostaghim (Otto-von-Guericke University)
ECXAI	Interactive Evolutionary Optimization of Visual Explainable AI through Gestalt Principles with Human Feedback	Doina Bucur (University of Twente), Sara Miotto (Demcon), Leonardo Lucio Custode (Independent Researcher), Chiara Camilla Rambaldi Migliore (University of Trento, University of Pisa), Giovanni Iacca (University of Trento)
IAM 2025	Efficient Scheduling of Transformer Neural Network Computation for Edge-AI Deployment	David Sedlak (Faculty of Information Technology, Brno University of Technology), Jan Klhufek (Faculty of Information Technology, Brno University of Technology), Vojtech Mrazek (Faculty of Information Technology, Brno University of Technology), Zdenek Vasicek (Faculty of Information Technology, Brno University of Technology)
QuantOpt	Manual vs. Automated QUBO Formulations for Flow Shop Scheduling: A Comparative Study on D-Wave and InfinityQ	Yousra Farhani (Ecole nationale Supérieure d'Informatique), Taha Arbaoui (INSA Lyon), Karima Benatchba (Ecole nationale Supérieure d'Informatique)
BBOB 2025	Benchmarking CMA-ES under Additive and Subtractive Noise on the BBOB Testbed	Oskar Girardin (Inria, École Polytechnique)
BBOB 2025	Cascading CMA-ES Instances for Generating Input-diverse Solution Batches	Maria Laura Santoni (Sorbonne Université, CNRS), Christoph Dürr (Sorbonne Université, CNRS), Carola Doerr (Sorbonne Université, CNRS), Mike Preuss (Universiteit Leiden), Elena Raponi (Universiteit Leiden)
SymReg	Call for Action: towards the next generation of symbolic regression benchmark	Guilherme S. Imai Aldeia (UFABC), Hengzhe Zhang (Victoria University of Wellington), Geoffrey Bomarito (NASA Langley Research Center), Miles Cranmer (University of Cambridge), Alcides Fonseca (LASIGE, Faculdade de Ciências da Universidade de Lisboa), Bogdan Burlacu (University of Applied Sciences Upper Austria), William G. La Cava (Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School), Fabrício Olivetti de França (UFABC)
SymReg	On the use of Hinge Loss as a Surrogate Fitness Function with Grammatical Evolution for Parkinson’s Disease Classification	Jiajun Duan (University College Dublin), Miguel Nicolau (University College Dublin), Michael O'Neill (University College Dublin)
BBOB 2025	Benchmarking the (1+1) Limited Memory Matrix Adaptation Evolution Strategy on the bbob-largescale Testbed	Tobias Glasmachers (Ruhr-University Bochum)