Long talks
- HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
Daniele Maria Papetti, Marco S. Nobile, Matteo Grazioso, Paolo Cazzaniga, Leonardo Vanneschi and Daniela Besozzi - Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control
Stefano Genetti, Enrico Micheli, Leonardo Lucio Custode and Giovanni Iacca - CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem
Tam Nguyen - Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model
Behzad Moradi, Mario André Muñoz and Michael Kirley - Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover
Shanxian Lin, Yuichi Nagata, Haichuan Yang and Wei Xia - Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning
Erik Nielsen, Alessandro Lorenzi and Giovanni Iacca - Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks
Renan Beran Kilic, Kasim Sinan Yildirim and Giovanni Iacca - Tripping Over The Past: Measuring Deceptive Progress in Competitive Coevolutionary Algorithms Employing Hall of Fame
Deacon Seals and Daniel Tauritz - Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution
Javier Galvis-Chacon, Luis A. Beltran, Omar Alvarez, Diego Oliva, Itzel Aranguren, Arturo Valdivia-G, Mario A. Navarro and Seyed Jalaleddin Mousavirad - EvoTADASHI: Genetic Programming for High-Performance Code Optimization
João Eduardo Batista, Emil Vatai, Aleksandr Drozd and Mohamed Wahib - Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction
Emanuele Nardone, Claudio De Stefano, Alessandra Scotto di Freca, Francesco Fontanella and Tiziana D’Alessandro - Expensive Evolutionary Computation: Where are we, and what’s next?
Denis Pallez - On Effcient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata
Karel Fritz and Michal Bidlo - The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI
Michael Palk, Stefan Voss and Fred Glover - Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness
Soumen Atta and Michael Emmerich - A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem
Guilherme Nakahata, Florian Richoux, Daan van den Berg and Claus Aranha - Structure-Aware Penalty Weights Scaling for Quadratic Unconstrained Binary Optimization Formulation
Jiajie Liu and Alberto Moraglio - Cost-Efficient Charging Station Deployment for Electric Bus Fleets
César David Loaiza Quintana, Laura Climent, Christian Pérez and Alejandro Arbelaez - PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization
Kanchan Rajwar, Nelishia Pillay and Thambo Nyathi - Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
Thomas Bömer, Nico Koltermann, Max Disselnmeyer, Bastian Amberg and Anne Meyer - Novel Explainable Graph–Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images
Pinar Karadayi Atas and Amar Halilovic - Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Jed Muff, Keiichi Ito, Karine Miras, Elijah Ang and Agosten Eiben - Exploring the impact of fairness-aware criteria in AutoML
Joana Simões and João Correia - A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that play \textit{Tales of Tribute} videogame
Francisco David Castejón-Soto, Jj Merelo and Pablo García-Sánchez - Self-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing
Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós, Paulin Héleine and Damien Olivier - Genetic Programming for Energy-Efficient Device–Edge Collaborative Inference
Shruti Lall and Nelishia Pillay - Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study
Jelle Westra, Ivan Olarte Rodriguez, Niki van Stein, Thomas Bäck and Elena Raponi - Helios: A Co-Designed Landscape-Aware Optimization System Bridging Serial intelligence and GPU Parallelism
Nikhil Yn and Abhay Bhandarkar - Quantifying Dota 2 Invoker Agent Spell Casting Behaviours
Robert Smith and Malcolm Heywood - Evolutionary Design of Specialized Image Compression Operators
Lukáš Plevač and Zdeněk Vašíček - ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models
Onkar Shelar and Travis Desell - Adaptive Curriculum Learning in Genetic Programming–Guided Local Search for Large-Scale Vehicle Routing Problems
Saining Liu, Yi Mei and Mengjie Zhang - Evolutionary approach for sewer network design under the condominial model
Renzo Massobrio, Sergio Nesmachnow, Jamal Toutouh and Sergio Pérez - Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten and Daniela Zaharie - From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
Niki van Stein, Anna V. Kononova and Thomas Baeck - FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods under Adversarial Scenarios
Elia Pacioni, Célien Muller, Francisco Fernández De Vega and Davide Calvaresi - Optimizing Tourist Trip Design for Urban Sustainability
Marco Baioletti, Fabrizio Fagiolo and Valentino Santucci - Novel Particle Swarm Optimization for High-Dimensional Problems
So Fukuhara and Masao Arakawa - Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs
Pedro Augusto Torres Bento, Arthur Buzelin Galery, Yan Aquino Amorim, Arthur Rodrigues Chagas, Wagner Meira Jr. and Gisele Lobo Pappa - Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization
Madalina-Andreea Mitran and Mihai-Lucian Ene
Short talks
- Learning to Search: A Reinforcement Learning Agent for Global Optimization
Boukthir Haddar, Mohamed Ali Elleuch and Chedli Damak - CLIP Prompt Optimization with Evolutionary-Driven LLMs
Andrea Ceron, Ivan Donà and Giovanni Iacca - A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism
Jayprakash S. Nair, Jimson Mathew and Shivashankar B. Nair - Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
Ahmad Tashfeen and Qi Cheng - TensorRankNEAT: Speeding up Preference Learning in Neuroevolution via Tensorization
William Gjerberg Tresselt and Ole Jakob Mengshoel - Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots
Emiliano Rossi, Erik Nielsen and Giovanni Iacca - Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection
Taran Cyriac John, Giovanni Iacca, Qurrat Ul Ain, Harith Al-Sahaf and Mengjie Zhang - On the impact of conditional distribution in discovered differential equation ensembles
Xeniya Bashkova and Alexander Hvatov - Data-driven Learning for the Nurse Scheduling Problem
Aymen Ben Said and Malek Mouhoub - Deconvolution of Mass Spectra through Particle Swarm Optimization: An Industrial Experience
Giorgio Mongardi, Giovanni Squillero, Alberto Tonda, Evelyne Lutton, Raffaele Correale and Raffaella Todino - From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System
Shanshan Mao and Peter Tino - On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach
Claude Carlet, Marko Đurasević, Domagoj Jakobovic, Luca Mariot, Stjepan Picek and Alexandr Polujan - Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction
Joao Martin-Saquet, Adrien Dorise, Edouard Villain, Vinicius Beltram Tegolina, Stéphane Sanchez and David Panzoli - Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators
David Nepras and Lukas Sekanina - Scheduling Electric Vehicle Charging to Minimize Total Tardiness
Wissal Iarochen, Mustapha Oudani, Ammar Oulamara and Mohamed Ouzineb - Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Estelle Chigot, Thomas Oberlin, Manon Huguenin and Dennis Wilson - A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling
Bernt Moritz Schmid Olsen and Kazi Shah Nawaz Ripon - LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
Urban Skvorc, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas Bäck and Heike Trautmann - Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
Laura-Maria Cornei and Mihaela-Elena Breabăn - Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks
Andrés Bueno-Crespo, Ana Ortiz-González, José Martínez-Más and Carlos Cotta - Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks
Côme Frappé-Vialatoux and Pierre Parrend - A Sociotechnical Perspective on the Evolutionary Computation Ecosystem
Shunmuga Velayutham C, Bagavathi Chandrasekara, Dhanya M Dhanalakshmy, Jeyakumar Gurusamy, Ritwik Murali and Thangavelu S - Optimizing Transformers: Metaheuristics for Head Attention Pruning
Pedro Ferreira, Carlos Henggeler Antunes, Jorge Batista and Telmo Pinto - Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators
David Sedlák, Jan Klhufek and Vojtech Mrazek - Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases
Abhishek Singh, Zimeng Lyu and Travis Desell - Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov and Petros Koumoutsakos - Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability
Berfin Sakallioglu, Frederico J.J.B. Santos, Daniel Parra, Yuxin Qiu, Miguel Nicolau, Leonardo Trujillo and J. Ignacio Hidalgo