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ORCIDEvoApplications 2026: Toulouse, France
- Pablo García-Sánchez
, Josefa Díaz Álvarez, Aidan Murphy:
Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part II. Lecture Notes in Computer Science 16525, Springer 2026, ISBN 978-3-032-23606-7
Computational Intelligence for Sustainability
- Stefano Genetti, Enrico Micheli, Leonardo Lucio Custode, Giovanni Iacca:
Interpretable Federated Reinforcement Learning for Large-Scale Distributed HVAC Control. 3-21 - César Loaiza Quintana, Laura Climent, Christian Pérez, Alejandro Arbelaez:
Cost-Efficient Charging Station Deployment for Electric Bus Fleets. 22-38 - Renzo Massobrio, Sergio Nesmachnow, Jamal Toutouh, Sergio Pérez:
Evolutionary Approach for Sewer Network Design Under the Condominial Model. 39-54 - Marco Baioletti, Fabrizio Fagiolo, Valentino Santucci:
Optimizing Tourist Trip Design for Urban Sustainability. 55-70 - Aymen Ben Said, Malek Mouhoub:
Data-Driven Learning for the Nurse Scheduling Problem. 71-84 - Wissal Iarochen, Mustapha Oudani, Ammar Oulamara, Mohamed Ouzineb:
Scheduling Electric Vehicle Charging to Minimize Total Tardiness. 85-99
EvoLLMs: Integrating Evolutionary Computing with Large Language Models (LLMs)
- Javier Galvis-Chacón, Luis A. Beltran, Omar Alvarez, Diego Oliva, Itzel Aranguren, Arturo Valdivia-Gonzalez, Mario A. Navarro, Seyed Jalaleddin Mousavirad:
Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution. 103-117 - Thomas Bömer, Nico Koltermann, Max Disselnmeyer, Bastian Amberg, Anne Meyer:
Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search. 118-133 - Onkar Shelar, Travis Desell:
ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models. 134-149 - Pedro Bento, Arthur Buzelin, Arthur Chagas, Yan Aquino, Wagner Meira Jr., Gisele L. Pappa:
Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs. 150-166 - Andrea Ceron, Ivan Donà, Giovanni Iacca:
CLIP Prompt Optimization with Evolutionary-Driven LLMs. 167-182 - Urban Skvorc, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas Bäck, Heike Trautmann:
LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties. 183-199 - Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov, Petros Koumoutsakos:
Data-Driven Discovery of Interpretable Kalman Filter Variants Through Large Language Models and Genetic Programming. 200-216 - Berfin Sakallioglu, Frederico J. J. B. Santos, Daniel Parra, Yuxin Qiu, Miguel Nicolau, Leonardo Trujillo, J. Ignacio Hidalgo:
Combining Grammatical Evolution with LLM-based Local Search to Improve Interpretability. 217-233
Evolutionary Computation in Edge, Fog, and Cloud Computing
- Shruti Lall, Nelishia Pillay:
Genetic Programming for Energy-Efficient Device-Edge Collaborative Inference. 237-252 - Côme Frappé Vialatoux, Pierre Parrend:
Hybrid Evolutionary-ML Surrogate Models for Cyber-Attack Detection in Water Distribution Networks. 253-268
Machine Learning and AI in Digital Healthcare and Personalized Medicine
- Pinar Karadayi Atas, Amar Halilovic:
Novel Explainable Graph-Decision Forest Framework for Interpretable Pancreatic Tumor Detection on CT Images. 271-287
Opinions and Trends in Evolutionary Computation
- Denis Pallez:
Expensive Evolutionary Computation: Where Are We, and What's Next? 291-305 - Michael Palk, Stefan Voß, Fred W. Glover:
The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI. 306-326 - 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, Daniela Zaharie:
Benchmarking that Matters: Rethinking Benchmarking in Continuous Optimisation for Practical Impact. 327-344 - Niki van Stein, Anna V. Kononova, Thomas Bäck:
From Performance to Understanding: A Vision for Explainable Automated Algorithm Design. 345-360 - C. Shunmuga Velayutham, Bagavathi Chandrasekara, Dhanya M. Dhanalakshmy, Jeyakumar Gurusamy, Ritwik Murali, S. Thangavelu:
A Sociotechnical Perspective on the Evolutionary Computation Ecosystem. 361-372
Particle Swarm Optimization
- Daniele M. Papetti, Marco S. Nobile, Matteo Grazioso, Paolo Cazzaniga, Leonardo Vanneschi, Daniela Besozzi:
HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence. 375-390 - So Fukuhara, Masao Arakawa:
A Novel Particle Swarm Optimization for High-Dimensional Problems. 391-405 - Ene Mihai-Lucian, Madalina-Andreea Mitran:
Reinforcement Learning-Based Adaptive Boundary Constraint Handling for Particle Swarm Optimization. 406-421 - Raffaele Correale, Evelyne Lutton, Giorgio Mongardi, Giovanni Squillero, Raffaella Todino, Alberto Tonda:
Deconvolution of Mass Spectra Through Particle Swarm Optimization: An Industrial Experience. 422-437
Problem Modeling in Heuristic Optimization
- Guilherme Nakahata, Florian Richoux, Daan van den Berg, Claus Aranha:
A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem. 441-456 - Jiajie Liu, Alberto Moraglio:
Structure-Aware Penalty Weights Scaling for Quadratic Unconstrained Binary Optimisation Formulation. 457-472 - Jelle Westra, Iván Olarte Rodríguez, Niki van Stein, Thomas Bäck, Elena Raponi:
Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study. 473-488 - Nikhil Yelahanka Naveen, Abhay Bhandarkar:
Helios: A Co-designed Landscape-Aware Optimization System Bridging Serial Intelligence and GPU Parallelism. 489-503
Resilient Bio-inspired Algorithms
- Elia Pacioni, Célien Muller, Francisco Fernández de Vega, Davide Calvaresi:
FedGP Resilience: A Comparative Study with Standard Federated Aggregation Methods Under Adversarial Scenarios. 507-522
Soft Computing Applied to Games
- Deacon Seals, Daniel R. Tauritz:
Tripping Over the Past: Measuring Deceptive Progress in Competitive Coevolutionary Algorithms Employing Hall of Fame. 525-541 - David Castejón, Juan Julián Merelo, Pablo García-Sánchez:
A Comparison of Coevolution, Fixed, and Hybrid Training for Evolving Agents that Play Tales of Tribute Videogame. 542-556 - Robert J. Smith, Malcolm I. Heywood:
Quantifying Dota 2 Invoker Agent Spell Casting Behaviours. 557-573
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