- 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 |
|---|---|---|
| EML | Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation | Shoffan Saifullah (Faculty of Computer Science, AGH University of Krakow, Poland, Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia), Rafał Dreżewski (Faculty of Computer Science, AGH University of Krakow, Poland) |
| NE | Low Rank Factorizations are Indirect Encodings for Evolved Neural Networks | Jack Garbus (Brandeis University), Jordan Pollack (Brandeis University) |
| GECH | Hierarchical Convergence to Multiple Alternate Solutions: Population versus Point-based Algorithms | Ahmer Khan (Michigan State University), Kalyanmoy Deb (Michigan State University) |
| 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) |
| RWA | Multiobjective Ingredient Optimization for Recipe Planning | Nga Man Chan (University of Manchester), Julia Handl (University of Manchester) |
| GP | Learning to Predict Code Review Rounds in Modern Code Review Using Multi-Objective Genetic Programming | Moataz Chouchen (Concordia University), Issam Oukhay (Ecole de Technologie Superieure), Ali Ouni (Ecole de Technologie Superieure) |
| 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) |
| 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 | When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation | Zhiji Cui (University of Birmingham), Zimin Liang (University of Birmingham), Lie Meng Pang (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology), Miqing Li (University of Birmingham) |
| 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) |
| 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 | 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) |
| SI | Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies | Nitin Gupta (Dr BR Ambedkar NIT Jalandhar), Indu Bala (University of Adelaide), Bapi Dutta (University of Jaén), Luis Martínez (University of Jaén), Anupam Yadav (Dr BR Ambedkar NIT Jalandhar) |
| ENUM | Using Variable Interaction Graphs to Improve Particle Swarm Optimization | Casimir Czworkowski (Johns Hopkins University), John W. Sheppard (Montana State University) |
| 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) |
| 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) |