- The review process is now over: 218 contributions have been accepted as posters. They will be published in the Companion Volume (and hence in the Digital Library) and shown during the poster session of the conference.
- Search the list below by typing text in the column headers.
- See also the list of accepted papers.
- The Call for Papers and the Papers Submission Instructions are still available for your information.
List of Accepted Posters
| Track | Title | Authors |
|---|---|---|
| BBSR | Evorobotpy3: a flexible and easy-to-use simulation tool for Evolutionary Robotics | Paolo Pagliuca (National Research Council - Institute of Cognitive Sciences and Technologies), Stefano Nolfi (National Research Council - Institute of Cognitive Sciences and Technologies), Alessandra Vitanza (National Research Council - Institute of Cognitive Sciences and Technologies) |
| L4EC | Rank-based Linear-Quadratic Surrogate Assisted CMA-ES | Mohamed Gharafi (Inria Saclay–Île-de-France, École Polytechnique), Nikolaus Hansen (Inria Saclay–Île-de-France), Rodolphe Le riche (CNRS), Dimo Brockhoff (Inria Saclay–Île-de-France) |
| ECOM | Automated Design of Heuristics with Genetic Programming for the Electric Vehicle Routing Problem with Partial Recharging | Magda Smolić-Ročak (University of Zagreb), Marko Đurasević (University of Zagreb), Josip Hrvatić (University of Zagreb), Francisco Javier Gil Gala (University of Oviedo, Department of Computer Science) |
| GECH | A Framework for Automatically Setting Multiple Penalty Weights in Quadratic Unconstrained Binary Optimization | Jiajie Liu (University of Exeter), Alberto Moraglio (University of Exeter) |
| GECH | Hierarchical Convergence to Multiple Alternate Solutions: Population versus Point-based Algorithms | Ahmer Khan (Michigan State University), Kalyanmoy Deb (Michigan State University) |
| RWA | Balancing Metabolic Homeostasis and Enzyme Cost with Multi-Objective Evolutionary Algorithms | Arthur Lequertier (INRAE, Université Paris-Saclay), Alberto Tonda (INRAE, Université Paris-Saclay), Wolfram Liebermeister (INRAE, Université Paris-Saclay) |
| BBSR | A Comparison of Dimensionality Reduction Techniques for Visualising Search Behaviour | Helena Stegherr (University of Augsburg), Michael Heider (University of Augsburg), Jonathan Wurth (University of Augsburg), Jörg Hähner (University of Augsburg) |
| GP | Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models | Nathan Haut (Michigan State University), Zenas Huang (Michigan State University), Adam Alessio (Michigan State University) |
| EML | Partition2Vec - Towards Representation Learning for Evolutionary Clustering using Siamese Autoencoders | Julia Handl (University of Manchester) |
| BBSR | Energy Efficiency of C++ Standard Random Number Generators | Gustavo Romero López (Universidad de Granada), JuanJulián Merelo Guervos (Universidad de Granada) |
| ECOM | Greedy Randomised Adaptive Solution Builder using Priority Rules | Francisco Javier Gil Gala (University of Oviedo), Marko Durasevic (University of Zagreb), Maria R. Sierra (University of Oviedo), Jorge Puente (University of Oviedo) |
| BBSR | Othimi: A Block-Based Educational Programming Tool for Metaheuristic Design and Optimization | Gara Miranda (Universidad de La Laguna), Casiano Rodriguez-Leon (Universidad de La Laguna), Eduardo Segredo (Universidad de La Laguna) |
| ECOM | An analysis of training models to evolve relocation rules for the container relocation problem | Marko Đurasević (University of Zagreb, Faculty of Electrical Engineering and Computing), Mateja Đumić (School of Applied Mathematics and Informatics J. J. Strossmayer University of Osijek), Francisco Javier Gil Gala (University of Oviedo. Department of Computing), Domagoj Jakobović (University of Zagreb, Faculty of Electrical Engineering and Computing) |
| BBSR | Analyzing per-component energy consumption of evolutionary algorithms implemented in low-level languages | JJ Merelo (University of Granada), Gustavo Romero López (Universidad de Granada), Mario García-Valdez (Instituto Tecnológico de Tijuana) |
| L4EC | Class Incremental Learning for Algorithm Selection | Mate Botond Nemeth (Edinburgh Napier University), Emma Hart (Edinburgh Napier University), Kevin Sim (Edinburgh Napier University), Quentin Renau (Edinburgh Napier University) |
| GA | Genetic Algorithm-Based Optimization of High-Density EEG Channels for Eye State Classification with a Refined Subset Approach | Indrajit Dutta (University Institute of Technology, The University of Burdwan), Sandip Chakraborty (National Institute of Technology Durgapur), Sourav Samanta (University Institute of Technology, The University of Burdwan), Bibhash Sen (National Institute of Technology Durgapur) |
| CS | Hybrid Approach for Multi-Robot Task Allocation in Search and Rescue Operations Using NSGA-II and Variable Neighborhood Descent | Tatiana Machado Brito dos Santos (Universidade Federal Fluminense), Milena Faria Pinto (Centro Federal de Educação Tecnológica Celso Suckow da Fonseca), Matheus Jenevain (Universidade Federal de Juiz de Fora), Lais Rios Berno (Universidade Federal de Juiz de Fora), Igor Machado Coelho (Universidade Federal Fluminense) |
| EML | An Evolutionary Approach to Interpretable Machine Learning for ICU Length of Stay Prediction | Reshma Kar (Saint Peter's Univeristy), Eslin Kiran Ilangovan (Saint Peter's Univeristy), Gulhan Bizel (Saint Peter's Univeristy), Braja Gopal Patra (Weill Cornell Medicine, Cornell University) |