- 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 |
|---|---|---|
| ECOM | Improving Deep Optimisation for the Multi-dimensional Knapsack Problem using Elastic Weight Consolidation | Antoine CALAME (Imperial College London), Ruth Misener (Imperial College London), Joshua Knowles (University of Birmingham) |
| ECOM | Lazy Hypervolume Subset Selection Algorithm with Contributions Update | Andrzej Jaszkiewicz (Poznan University of Technology), Piotr Zielniewicz (Poznan University of Technology) |
| RWA | Evolving Macro-Actions for MCTS Video Game Agents | Andrew Douglas Ptolemy Gourley (RMIT University), Michael Dann (Viewa), Xiaodong Li (RMIT University), Fabio Zambetta (RMIT University) |
| BBSR | softpy: A User-Friendly Python Library for Soft Computing | Andrea Campagner (IRCCS Ospedale Galeazzi Sant'Ambrogio), Davide Ciucci (Università degli Studi di Milano-Bicocca) |
| ENUM | Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction | Ana Kostovska (Jožef Stefan Institute), Carola Doerr (Sorbonne Université), Sašo Džeroski (Jožef Stefan Institute), Panče Panov (Jožef Stefan Institute), Tome Eftimov (Jožef Stefan Institute) |
| THEORY | A Computational Comparison of Evolvable Soma Theory of Ageing and Standard Evolutionary Ageing Theories | Alessandro Fontana (National Gerontology Centre), Marios Kyriazis (National Gerontology Centre) |
| NE | Improving Neural Architecture Search with Class Visualization and Bilevel Optimization for Imbalanced Data | Alejandro Rosales-Pérez (Centro de Investigación en Matemáticas), Saul Zapotecas-Martinez (INAOE), Carlos A. Coello Coello (Cinvestav) |
| GP | Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression | 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) |
| GP | Program Trace Optimization for Language Model Search: the Abstraction and Reasoning Corpus case | Alberto Moraglio (University of Exeter), Alberto Tonda (INRAE) |
| EMO | Uncertainty Quantification of the Hypervolume for Evolutionary Multi-Objetive Reinforcement Learning | Alberto Maximiliano Millán Prado (IIMAS-UNAM), Carlos Ignacio Hernández Castellanos (IIMAS-UNAM) |
| RWA | Itemsets with Approximate Logistic Curve as Statistical Background | Akari Oda (Gunma University), Kaoru Shimada (Gunma University) |
| GECH | Hierarchical Convergence to Multiple Alternate Solutions: Population versus Point-based Algorithms | Ahmer Khan (Michigan State University), Kalyanmoy Deb (Michigan State University) |
| BBSR | CoSPLib - A Benchmark Library for Conference Scheduling Problems | Ahmed Kheiri (The University of Manchester), Yaroslav Pylyavskyy (Lancaster University), Peter Jacko (Lancaster University, Berry Consultants, UK) |
| RWA | Machine Learning and Genetic Algorithms: An Intricate Relationship for Locating Methane in Satellite Images | Agata M. Wijata (Silesian University of Technology), Nicolas Longépé (European Space Agency), Michal Przewozniczek (Wroclaw University of Science and Technology), Jakub Nalepa (Silesian University of Technology) |
| RWA | Genetic Feature Selection for Multimodal Wound Detection | Agata M. Wijata (Silesian University of Technology), Maria Bieńkowska (Silesian University of Technology), Michal W. Przewozniczek (Wroclaw University of Science and Technology), Jakub Nalepa (Silesian University of Technology) |
| L4EC | Bi-Level Optimization of EVCSP Using Hybrid Genetic Algorithm and Reinforcement Learning]{Bi-Level Hybrid Genetic Algorithm Enhanced with Multiple Reinforcement Learning Methods for EV Charging Scheduling | Abdennour Azerine (Université de Haute-Alsace), Mahmoud Golabi (Université de Haute-Alsace), Lhassane Idoumghar (Université de Haute-Alsace) |
| RWA | Advanced Techniques for Maximizing Demand Satisfaction in EV Charging Scheduling | Abdennour Azerine (Université de Haute-Alsace), Mahmoud Golabi (Université de Haute-Alsace), Ammar Oulamara (LORIA, Université de Lorraine), Lhassane Idoumghar (Université de Haute-Alsace) |
| EML | CGP-CANTS-N: A Versatile Graph-Based Framework for Scalable and Adaptive Problem Solving Across Domains | AbdElRahman ElSaid (University of North Carolina Wilmington, Rochester Institute of Technology), Travis Desell (Rochester Institute of Technology) |