- 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 |
|---|---|---|
| SI | A new Hybrid Dynamic Tournament Topology Particle Swarm Optimizaton with Parameter Independence | Piotr Dziwiński (Czestochowa University of Technology) |
| EMO | A New Framework for Visualising Diversity Properties of Pareto Front Approximations in Many-objective Optimisation | Kai Eivind Wu (University of Sheffield), George Panoutsos (University of Sheffield) |
| RWA | A Local Search Deep Q-Network to Optimize On-Demand Tranportation Problems | Mariem Ayari (Larodec Laboratory,Tunis university), Sonia Nasri (LARODEC, Manouba university), Hend Bouziri (Larodec Laboratory), Wassila Aggoune-Mtalaa (Luxembourg Institute of Science and Technology) |
| 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 | 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) |
| 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) |
| RWA | A Genetic Algorithm Framework for Jailbreaking Large Language Models | Lorenzo Bonin (University of Trieste), Lorenzo Cusin (University of Trieste), Andrea De Lorenzo (University of Trieste), Mauro Castelli (Universidade Nova de Lisboa), Luca Manzoni (University of Trieste) |
| 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) |
| L4EC | A General Genetic Algorithm Using Natural Language Evolutionary Operators | Gerhard Stenzel (LMU Munich), Sarah Gerner (LMU Munich), Michael Kölle (LMU Munich), Maximilian Zorn (LMU Munich), Thomas Gabor (LMU Munich) |
| GECH | A Framework for Automatically Setting Multiple Penalty Weights in Quadratic Unconstrained Binary Optimization | Jiajie Liu (University of Exeter), Alberto Moraglio (University of Exeter) |
| 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 | 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) |
| EMO | A Continuation Method Based on CMA-ES | Hoang Nguyen Vu (Ecole Polytechnique, IP Paris), Dimo Brockhoff (Inria, Ecole Polytechnique, IP Paris) |
| EMO | A Constrained Multi-objective Co-Evolutionary Algorithm Based on Operator Score and Reward | Kangshun Li (College of Mathematics and Informatics,South China Agricultural University, School of Artificial Intelligence, Dongguan City University), Juhong Wu (College of Mathematics and Informatics, South China Agricultural University), Shumin Xie (College of Mathematics and Informatics, South China Agricultural University) |
| 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) |
| 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) |
| EML | A Comparison and Analysis of LLM Agents within the Context of An LLM-Guided Evolution for Object Detection | YiMing Yu (Georgia Tech Research Institute), Jason Paul Zutty (Georgia Tech Research Institute) |
| EMO | A bi-objective Medical Sampling Service System | Hue Thi Tran (Banking Academy of Vietnam), Ky Tuan Hoang (Hanoi University of Science and Technology), Phuong Khanh Nguyen (Hanoi University of Science and Technology), Huynh Thi Thanh Binh (Hanoi University of Science and Technology) |