- 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 |
|---|---|---|
| GP | Learning Semantics-aware Search Operators for Genetic Programming | Piotr Wyrwiński (Poznan University of Technology), Krzysztof Krawiec (Poznan University of Technology) |
| EMO | A Dynamic Constrained Multiobjective Evolutionary Algorithm based on Convergence Path Interpolation | Guangyuan Sui (Beijing University of Technology), Cuicui Yang (Beijing University of Technology), Junzhong Ji (Beijing University of Technology), Xiaoyu Zhang (Beijing University of 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) |
| EMO | A customized MOEA/D with active element pattern surrogate model for direction finding array design | Hanhua Zou (China University of Geosciences), Ruwang Jiao (Soochow University, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University), Fei Zhao (National Key Laboratory of Blind Signal Processing), Changhe Li (Anhui Universityof Science & Technology), Sanyou Zeng (China University of Geosciences) |
| 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) |
| BBSR | Large Language Model Driven Evolutionary Optimization Benchmark Generation Algorithm | Yuhiro Ono (Tokyo Metropolitan University), Tomohiro Harada (Saitama University), Yukiya Miura (Tokyo Metropolitan University) |
| 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) |
| EMO | MGDA/D: A Multiple Gradient Descent Algorithm Based on Decomposition | Yawen Zhou (Nanjing University), Ke Xue (Nanjing University), Chao Qian (Nanjing University) |
| ENUM | Covariance Matrix Adaptation Evolution Strategy without a matrix | Jarosław Arabas (Warsaw University of Technology), Adam Stelmaszczyk (Warsaw University of Technology), Eryk Warchulski (Warsaw University of Technology), Dariusz Jagodziński (Warsaw University of Technology), Rafał Biedrzycki (Warsaw University of Technology) |
| EMO | Optimization of Time-Variant Charging Station Placement Using Evolutionary Algorithms | Sai Lokesh Kancharla (Otto-von-Guericke Universität Magdeburg), Sebastian Brulin (Honda Research Institute Europe), Sanaz Mostaghim (Otto-von-Guericke Universität Magdeburg, Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Dresden, Germany), Markus Olhofer (Honda Research Institute Europe) |
| 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) |
| EMO | Simulated Annealing-based Evolutionary Algorithm for Constrained Multimodal Multiobjective Optimization | Juan Zou (Xiangtan University), Yu Li (Xiangtan University), Qi Deng (Xiangtan University), Tian-Bin Xie (Xiangtan University), Sheng-Xiang Yang (De Montfort University), Jin-Hua Zheng (Xiangtan University) |
| 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) |
| EMO | Modeling and Solution to Hot Rolling Production Rescheduling Problem | Gejian Xu (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, China, Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, China), Guodong Zhao (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, China, Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, China), Yang Yang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, China, Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, China), Hua Zou (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, China, Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, China) |
| 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) |