- 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 |
|---|---|---|
| L4EC | Ranking prediction based evolutionary algorithm for expensive many-objective optimization problems | Yimo Zhang (Jiangnan University), Shuwei Zhu (Jiangnan University), Wei Fang (Jiangnan University), Kalyanmoy Deb (Michigan State University), Meiji Cui (Nanjing University of Science and Technology) |
| NE | Evolutionary Policy Optimization | Zelal Su Mustafaoglu (University of Texas), Keshav Pingali (University of Texas), Risto Miikkulainen (University of Texas) |
| EML | Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms | Mehrdad Asadi (Vrije Universiteit Brussel), Roxana Radulescu (Utrecht University), Ann Nowe (Vrije Universiteit Brussel) |
| EMO | A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization | Siyu Chen (Southern University of Science and Technology), Haoran Tang (Southern University of Science and Technology), Jinyuan Zhang (Southern University of Science and Technology), Ke Tang (Southern University of Science and Technology) |
| EMO | An Arithmetic Optimization Algorithm with Dynamic State Estimation for Deadline-Constrained Workflow Scheduling | Najwa Kouka (Università degli Studi di Milano Dipartimento di Informatica), Sabrina De Capitani di Vimercati (Università degli Studi di Milano Dipartimento di Informatica), Vincenzo Piuri (Università degli Studi di Milano Dipartimento di Informatica), Pierangela Samarati (Università degli Studi di Milano Dipartimento di Informatica) |
| EML | Particle Swarm Optimization for Automating Prompt Optimization]{Particle Swarm Optimization for Automating Prompt Optimization in Large Language Models on Text Classification and Generation Tasks | Linsen Li (Hebei University), Bin Wang (Nanning University, Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| EMO | A Hyper-feasible Solutions Based Update Weight Vectors Evolutionary Algorithm for Constrained Multiobjective Optimization Problem | Kangshun Li (College of Mathematics and Informatics, South China Agricultural University, School of Artificial Intelligence, Dongguan City University), Tianjin Zhu (College of Mathematics and informatics, South China Agricultural University), Shumin Xie (College of Mathematics and informatics, South China Agricultural University) |
| GA | A Genetic Algorithm for Solving the Three-Dimensional Bin Set Selection Problem | Leon Binder (Deggendorf Institute of Technology), Michael Scholz (Deggendorf Institute of Technology) |
| RWA | A Genetic Ensemble Method for Correcting Maritime Wind Forecasts | Chaerim Park (Kwangwoon University, Kwangwoon University), Tae-Hoon Kim (Kwangwoon University), Yong-Hyuk Kim (Kwangwoon University), Seung-Hyun Moon (Kwangwoon University) |
| ECOM | Empirical Studies of Multimodality in Feature Selection: Generalized Crowding for Genetic Algorithms | Corentin Masson (Univ. Grenoble Alpes, LEGI, CNRS, Univ. Grenoble Alpes, LIG, CNRS), Ole Jakob Mengshoel (Norwegian University of Science and Technology, Carnegie Mellon University), Xavier F. C. Sánchez-Díaz (Norwegian University of Science and Technology) |
| 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) |
| GP | Mutual Information-Based Evolutionary Feature Construction via Minimizing Redundancy and Maximizing Relevance | Yunze Leng (National University of Singapore), Kei Sen Fong (National University of Singapore), Mehul Motani (National University of Singapore) |
| EMO | COTLEA: COpula-based Transfer Learning Evolutionary Algorithm for Multi-Objective Optimization Problems | Fodil BENALI (Adwanted Group), Cyril De Runz (University of Tours), Nicolas Labroche (University of Tours), Hicham Elmokhtari (Adwante Group) |
| THEORY | Application of Limit Theorems to Runtime Analysis of the $(1+(lambda,lambda))$~Genetic Algorithm | Anton Eremeev (Sobolev Institute of Mathematics SB RAS, Dostoevsky Omsk State University), Valentin Topchii (Sobolev Institute of Mathematics SB RAS) |
| GP | A Symbolic Hessian-Based Approach for Assessing Model Complexity in Symbolic Regression | Nathan Haut (Michigan State University), Stuart Card (Critical Technologies Inc), Mark Kotanchek (Evolved Analytics LLC) |
| 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) |