- 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 |
|---|---|---|
| RWA | An LGBM-aided low-cost evoluationary algorithm for optimizing analog circuit sizing | Zongchen Han (Qingdao University of Science and Technology, College of Information Science and Technology), Chunliang Zhao (Qingdao University of Science and Technology, College of Data Science), Dunwei Gong (Qingdao University of Science and Technology, College of Automation and Electronic Engineering), Jing Sun (Qingdao University of Science and Technology, College of Data Science) |
| ECOM | Clustering Assisted Ant Colony Optimization for Large-Scale Travelling Salesman Problem | Zhong-Heng Jiang (Nanjing University of Information Science and Technology), Qiang Yang (Nanjing University of Information Science and Technology), Dan-Ting Duan (Communication University of China), Pei-Lan Xu (Nanjing University of Information Science and Technology), Cheng-Zhi Qu (Nanjing University of Information Science and Technology), Zhen-Yu Lu (Nanjing University of Information Science and Technology), Jun Zhang (Hanyang 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) |
| EML | Investigating Combined Algorithm Selection and Hyperparameter Optimization for Fairness | Zhiang Chen (University College Dublin), Mark Connor (University College Dublin), Sudarshan Pant (University College Dublin), Michael O'Neill (University College Dublin) |
| NE | Evolutionary Policy Optimization | Zelal Su Mustafaoglu (University of Texas), Keshav Pingali (University of Texas), Risto Miikkulainen (University of Texas) |
| ENUM | CMA-ES with Individual Adaptive Reevaluation for Black Box Value-At-Risk Optimization | Ze Kai Ng (University of Tsukuba), Daiki Morinaga (University of Tsukuba, RIKEN AIP), Youhei Akimoto (University of Tsukuba, RIKEN AIP) |
| EMO | Multi-Objective Fairness Approach Using Causal Bayesian Networks & Grammatical Evolution | Zahid Irfan (Dundalk Institute of Technology), Róisín Loughran (Dundalk Institute of Technology), Muhammad Adil Raja (Dundalk Institute of Technology), Fergal McCaffery (Dundalk Institute of Technology) |
| RWA | Discovering Blue Team Solutions for an Autonomous Cyber Operations Challenge using an Evolutionary Heuristic Search | Yuxuan Wang (Dalhousie University), Nur Zincir-Heywood (Dalhousie University), Malcolm Heywood (Dalhousie University) |
| SI | Resampling Framework Based on Swarm Intelligence Optimization for Imbalanced Data Classification | Yutianyi Liu (Dalian University of Technology), Hanyi Wu (University of Toronto), Haotong Wang (Dalian University of Technology), Yongxue Shan (National University of Defense Technology), Xin Yang (Dalian University of Technology), Ziqi Wei (Institute of Automation Chinese Academy of Sciences) |
| 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) |
| BBSR | Large Language Model Driven Evolutionary Optimization Benchmark Generation Algorithm | Yuhiro Ono (Tokyo Metropolitan University), Tomohiro Harada (Saitama University), Yukiya Miura (Tokyo Metropolitan University) |
| CS | Accelerating Soft Robot Evolution Using N-gram-based Controller Inheritance and Genetic Co-Design | Yue Xie (University of Cambridge), Xueming Yan (Guangdong University of Foreign Studies), Fumiya Iida (University of Cambridge) |
| EMO | Investigating the Climbing Mechanism of the Weight-Guided Random Bit Climber for Many-Objective Optimization | Yudai Tagawa (Shinshu University), Hernan Aguirre (Shinshu University), Kiyoshi Tanaka (Shinshu University) |
| SI | Multimodal Ant Colony Optimization for Finding Multiple Different Routes for Autonomous Underwater Vehicle | Ying Chen (Nanjing University of Information Science and Technology), Qiang Yang (Nanjing University of Information Science and Technology), Dan-Ting Duan (Communication University of China), Pei-Lan Xu (Nanjing University of Information Science and Technology), Xin Lin (Nanjing University of Information Science and Technology), Zhen-Yu Lu (Nanjing University of Information Science and Technology), Jun Zhang (Hanyang University) |
| 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) |
| 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) |
| GP | Novel Application of Mutual Information in Transfer Learning for Genetic Programming | Yilin Liu (Brunel University), Gareth Taylor (Brunel University), Zhengwen Huang (Brunel University) |
| GP | Generative Evolutionary Computation: An Automatic Gene Targeting Differential Evolution Via Genetic Programming | Yi-Chao Huang (South China University of Technology), Xin-Xin Xu (Ocean University of China), Jian-Yu Li (Nankai University), Sam Kwong (Lingnan University), Jun Zhang (Nankai University), Zhi-Hui Zhan (Nankai University) |
| EMO | MGDA/D: A Multiple Gradient Descent Algorithm Based on Decomposition | Yawen Zhou (Nanjing University), Ke Xue (Nanjing University), Chao Qian (Nanjing University) |
| NE | Exploring Multi-Modal Representations Based on an Improved Multi-Objective Optimization Algorithm for Molecular Property Prediction | Yaguo Dong (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education), Meiling Xu (Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Liaoning Key Laboratory of Manufacturing System and Logistics Optimization), Lixin Tang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University) |
| GA | Smart Starts: Accelerating Convergence Through Uncommon Region Exploration | Xinyu Zhang (Stony Brook University), Mário Antunes (University of Aveiro), Tyler Estro (Stony Brook University), Erez Zadok (Stony Brook University), Klaus Mueller (Stony Brook University) |
| ENUM | A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping | Wenjie Qiu (South China University of Technology), Hongshu Guo (South China University of Technology), Zeyuan Ma (South China University of Technology), Yue-Jiao Gong (South China University of Technology) |
| RWA | Multi-objective Evolutionary Algorithm for Production Planning in Cold-Rolling | Weiyan Jia (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University), Lixin Tang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University), Yang Yang (Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry), Yun Dong (Liaoning Key Laboratory of Manufacturing System and Logistics Optimization), Yanyan Zhang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University) |
| EMO | Investigating the Spreadability of Problems in Evolutionary Multi-objective Optimization Algorithms | Weifeng Guan (广东工业大学), Fangqing Gu (广东工业大学), Yingxuan Liang (广东工业大学), Hai-lin Liu (广东工业大学), Yuping Wang (西安电子科技大学) |
| RWA | Refining Neural Network with Symbolic Regression | Wei Wei (China University of Petroleum Beijing), Qiang Lu (China University of Petroleum Beijing), Can Huang (Renmin University of China), Jake Luo (University of Wisconsin Milwauke) |
| SI | Using Ant Colony Optimization for Fractional Orienteering Problem with Mandatory Nodes | Vladimír Holý (Prague University of Economics and Business), Ondřej Sokol (Prague University of Economics and Business) |
| ECOM | Spectral Walsh analysis and surrogate-assisted optimization: example of the bus stops spacing problem | Valentin Vendi (Université du Littoral Côte d'Opale), Sébastien Verel (Université du Littoral Côte d'Opale), Cyril Fonlupt (Université du Littoral Côte d'Opale) |
| L4EC | Combining Feature Space Refinement and Outcome Accumulation Type Evolutionary Rule Discovery | Tomonori Obana (Gunma University), Kaoru Shimada (Gunma University) |
| NE | Closing the Optimization and Generalization Gap in Deep Learning with A Multi-Objective Evolutionary Algorithm | TOKI TAHMID INAN (George Mason University), Shahana Shultana (George Mason University), Amarda Shehu (George Mason University) |
| ECOM | A Tabu Search Algorithm Based on Symmetry Local Search for Multi-objective Combinatorial Optimization Problems | Tianyang Li (Northeastern University, National Frontiers Science Center for Industrial Intelligence and Systems Optimization), Ying Meng (Northeastern University, National Frontiers Science Center for Industrial Intelligence and Systems Optimization), Lixin Tang (Northeastern University, National Frontiers Science Center for Industrial Intelligence and Systems Optimization), Qingxin Guo (Northeastern University, National Frontiers Science Center for Industrial Intelligence and Systems Optimization) |
| GECH | Generalizing the Structure of a University Timetabling Solver for Flexible Automatic Algorithm Configuration | Thomas Feutrier (Université de Lille), Nadarajen Veerapen (Université de Lille), Marie-Eléonore Kessaci (Université de Lille) |
| EML | Diversifying Adversarial Attacks on Text-to-image Generation | Thai Huy Nguyen (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)), Ngoc Hoang Luong (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)) |
| 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) |
| GECH | Written by Artificial Intelligence, Evolved by Genetic Algorithms: An Evolutionary Challenge to Solving the Traveling Salesperson Problem with ChatGPT | Tae-Hun Kim (Kwangwoon University), Yong-Hyuk Kim (Kwangwoon University) |
| RWA | Evolutionary Ensemble for Prediction of Drifter Trajectories Using Weighted Majority | Tae-Hoon Kim (Kwangwoon University), Seung-Hyun Moon (Kwangwoon University), Yong-Hyuk Kim (Kwangwoon University) |
| RWA | Searching for Model Structures on Murine Neonatal Sepsis Data Using Genetic Programming | Tabitha Grace Lewis (Swansea University), Noemi Picco (Swansea University), Alma Rahat (Swansea University), Thomas Woolley (Cardiff University), Peter Ghazal (Cardiff University) |
| GA | Avoiding Premature Convergence to Local Optima with Adaptive Exploration for Genetic Algorithms | Sumaiya Saima Sultana (MI-6 Co. Ltd), Tomohiko Tanabe (MI-6 Co. Ltd), Tobias Fausten (MI-6 Co. Ltd), Mitsuru Irie (MI-6 Co. Ltd) |
| RWA | Finding Molecules with Specific Properties: Simulated Annealing vs. Evolution | Steven A. Alexander (Southwestern University), Dominc Mashak (Southwestern University) |
| EMO | Multi-criteria Optimization Algorithms specially tailored for Programmable Networks with Quality Management. | Stanislaw Kozdrowski (Warsaw University of Technology), Wojciech Makos (Warsaw University of Technology), Zbigniew Kopertowski (Orange Labs), Slawomir Sujecki (Military University of Technology) |
| RWA | Efficient Path Planning for Maritime Search and Rescue: A Surrogate-Assisted Memetic Algorithm | Sojung Lee (Kwangwoon University), Pablo Moscato (University of Newcastle), Yong-Hyuk Kim (Kwangwoon University) |
| EML | Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement | So Nakashima (the University of Tokyo), Tetsuya J. Kobayashi (the University of Tokyo) |
| SI | Particle Swarm Optimization for Large-Scale Mixed-Variable Optimization Problems | So Fukuhara (Kagawa University), Masao Arakawa (Waseda University) |
| 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) |
| GP | Kozax: Flexible and Scalable Genetic Programming in JAX | Sigur de Vries (Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University), Sander Wessel Keemink (Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University), Marcel Antonius Johannes van Gerven (Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University) |
| 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) |
| GA | Leveraging Genetic Algorithm to Refine Genetic Programming-Evolved Dispatching Rules for Flexible Job Shop Scheduling | Shady Salama (Ritsumeikan University), Mate Kovacs (Ritsumeikan University) |
| RWA | Bi-objective Optimisation of Cybersecurity Investment: Reducing Component Vulnerability and Security Breach Risk | Seyedamirhossein Salehiamiri (University of manchester), Xiuqin Li (University of manchester), Richard Allmendinger (University of manchester), Elvira Uyarra (University of Manchester), James Mercer (THG) |
| NE | Evolutionary Neural Architecture Search using Random Weight Distributions | Sebastian Gregory Dal Toe (Aberystwyth University), Bernard Tiddeman (Aberystwyth University), Christine Zarges (Aberystwyth University) |
| L4EC | Boltzmann Machine Is Useful for Enhancing Search Performance of Ising Machines | Satoru Jimbo (Institute of Science Tokyo), Kazushi Kawamura (Waseda University) |
| RWA | Utility-aware Social Network Anonymization using Genetic Algorithms | Samuel Bonello (Leiden Institute of Advanced Computer Science), Rachel G. de Jong (Leiden Institute of Advanced Computer Science), Thomas Bäck (Leiden Institute of Advanced Computer Science), Frank W. Takes (Leiden Institute of Advanced Computer Science) |
| CS | Autoverse: Evolving Symbolic Neural Cellular Automata Environments to Train Player Agents | Sam Earle (New York University), Julian Togelius (New York University) |
| 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) |
| EML | LIMES: Learning from Imbalanced Data via Multiform Multi-Objective Feature Selection | Ruwang Jiao (Soochow University), Tao Peng (Soochow University), Naoki Masuyama (Osaka Metropolitan University), Yusuke Nojima (Osaka Metropolitan University) |
| RWA | Evolving Financial Trading Strategies with Vectorial Genetic Programming | Rui Menoita (University of Lisbon), Sara Silva (University of Lisbon) |
| EMO | Multi-Objective Optimisation of the Generalized Bin Packing Problem | Rosephine Georgina Rakotonirainy (University of Cape Town), Andrea Plumbley (University of Cape Town) |
| BBSR | TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming | Roman Kalkreuth (RWTH Aachen University), Fabricio Olivetti de França (Universidade Federal do ABC), Anja Jankovic (RWTH Aachen University), Marie Anastacio (RWTH Aachen University), Julian Dierkes (RWTH Aachen University), Zdenek Vasicek (Brno University of Technology), Holger Hoos (RWTH Aachen University) |
| ECOM | Evolving Cryptographic Boolean Functions with Reaction Systems | Rocco Ascone (University of Trieste), Luca Mariot (University of Twente), Luca Manzoni (University of Trieste), Gloria Pietropolli (University of Trieste) |
| EMO | Benchmarking MOEAs for solving continuous multi-objective RL problems | Roberto Santana Hermida (University of the Basque Country), Carlos Ignacio Hernández Castellanos (IIMAS-UNAM) |
| BBSR | Evolve On Click (EvOC) - An Intuitive Web Platform to Collaboratively Implement, Execute, and Visualize Evolutionary Algorithms | Ritwik Murali (Amrita Vishwa Vidyapeetham), Ashwin Narayanan Sivamani (Amrita Vishwa Vidyapeetham), Abhinav Ramakrishnan (Amrita Vishwa Vidyapeetham), Hariharan Arul (Amrita Vishwa Vidyapeetham), Ananya Ramamurthy (Amrita Vishwa Vidyapeetham) |
| EML | An Evolutionary Approach to Interpretable Machine Learning for ICU Length of Stay Prediction | Reshma Kar (Saint Peter's University), Eslin Kiran Ilangovan (Saint Peter's Univeristy), Gulhan Bizel (Saint Peter's Univeristy), Braja Gopal Patra (Weill Cornell Medicine, Cornell University) |
| 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) |
| BBSR | Empirical Complexity Analysis of Optimization Algorithms | Raúl Martín-Santamaría (Universidad Rey Juan Carlos), Manuel López-Ibáñez (University of Manchester), J. Manuel Colmenar (Universidad Rey Juan Carlos) |
| ECOM | Generalising the Team Orienteering problem through Multi-constraining and Multi-objectives | Raimundo Gross (Universidad Técnica Federico Santa María), Elizabeth Montero (Universidad Técnica Federico Santa María), Nicolás Gálvez Ramírez (Universidad Técnica Federico Santa María), Adriana Menchaca-Méndez (Universidad Nacional Autónoma de México) |
| GP | Synergistic Hybridization of GP and DE: Innovations in Evolutionary Computation | Radomil Matousek (Brno University of Technology), Miroslav Korenek (Trystom, Ltd.), Tomas Hulka (Brno University of Technology), Ladislav Dobrovsky (Brno University of Technology) |
| RWA | Modified Non-dominated Sorting for Multi-Objective Data Analysis | Rachel Ellen Brown (Otto-von-Guericke Universität Magdeburg), Qihao Shan (Otto-von-Guericke Universität Magdeburg), Sanaz Mostaghim (Otto-von-Guericke Universität Magdeburg) |
| L4EC | Genetic Programming Based Feature Construction for Automated Algorithm Selection | Qingbin Guo (Xidian University), Handing Wang (Xidian University) |
| RWA | Evolutionary Algorithms for Spatial Control of Gas-Solid Fluidized Beds | Pravin Pandey (Otto-von-Guericke Universität Magdeburg), Sanaz Mostaghim (Otto-von-Guericke Universität Magdeburg, Fraunhofer IVI), Berend van Wachem (Otto-von-Guericke Universität Magdeburg) |
| GP | Learning Semantics-aware Search Operators for Genetic Programming | Piotr Wyrwiński (Poznan University of Technology), Krzysztof Krawiec (Poznan University of Technology) |
| SI | A new Hybrid Dynamic Tournament Topology Particle Swarm Optimizaton with Parameter Independence | Piotr Dziwiński (Czestochowa University of Technology) |
| RWA | Evolutionary Boss Improvement in Doom | Pedro Regattieri Rocha (University of São Paulo), Leonardo Tórtoro Pereira (Sao Paulo State University), Cláudio Fabiano Motta Toledo (University of São Paulo) |
| RWA | Comparing Modern Differential Evolution Variants in Multiobjective Cloud Scheduling | Pavel Krömer (VSB-TU Ostrava), Vojtech Uher (VSB-TU Ostrava) |
| BBSR | Evorobotpy3: a flexible and easy-to-use simulation tool for Evolutionary Robotics | Paolo Pagliuca (National Research Council - Institute of Cognitive Sciences and Technologies), Stefano Nolfi (National Research Council - Institute of Cognitive Sciences and Technologies), Alessandra Vitanza (National Research Council - Institute of Cognitive Sciences and Technologies) |
| L4EC | A Search Trajectory Networks Model to Understand irace | Pablo Estobar (Universidad Técnica Federico Santa María), Nicolas Rojas-Morales (Universidad Técnica Federico Santa María), Diana Gil-Silvestre (Universidad Técnica Federico Santa María), Gabriela Ochoa (University of Stirling) |
| GP | Embedding-Based Selection Operators for Genetic Programming | Oumaima Bel Moudden (Univ. Littoral Cote d’Opale, UR 4491, LISIC, Laboratoire d’Informatique Signal et Image de la Cote d’Opale), Rym Guibadj (Univ. Littoral Cote d’Opale, UR 4491, LISIC, Laboratoire d’Informatique Signal et Image de la Cote d’Opale), Denis Robilliard (Univ. Littoral Cote d’Opale, UR 4491, LISIC, Laboratoire d’Informatique Signal et Image de la Cote d’Opale), Cyril Fonlupt (Univ. Littoral Cote d’Opale, UR 4491, LISIC, Laboratoire d’Informatique Signal et Image de la Cote d’Opale), Abdeslam Kadrani (SI2M Laboratory, INSEA) |
| RWA | Improving Academic Plan Efficiency with Genetic Algorithm and Stochastic Simulation | Oliver Cuate (ESFM-IPN), Roxana Torrijos (ESFM-IPN), Lourdes Uribe (Anahuac University) |
| 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) |
| ECOM | New QUBO Transformations to Improve Quantum and Simulated Annealing Performance for Quadratic Knapsack | Nicolás Borrajo (IMDEA Networks Institute), Juan Marcos Ramirez (IMDEA Networks Institute), Farzam Nosrati (IMDEA Networks Institute, University of Palermo), Jose Aguilar (IMDEA Networks Institute, CEMISID, Universidad de Los Andes), Vincenzo Mancuso (University of Palermo, IMDEA Networks Institute), Antonio Fernández Anta (IMDEA Software Institute, IMDEA Networks Institute) |
| EML | Reinforcement Learning-based Genetic Algorithm for Computation Offloading Optimization in UAV-assisted MEC Systems | Nguyen Thi My Binh (Hanoi University of Industry), Le Vu Minh Tam (Hanoi University of Science and Technology), Ho Viet Duc Luong (Hanoi University of Science and Technology), Trinh Van Chien (Hanoi University of Science and Technology), Huynh Thi Thanh Binh (Hanoi University of Science and Technology) |
| RWA | Multiobjective Ingredient Optimization for Recipe Planning | Nga Man Chan (University of Manchester), Julia Handl (University of Manchester) |
| 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) |
| 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) |
| 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) |
| L4EC | Rank-based Linear-Quadratic Surrogate Assisted CMA-ES | Mohamed Gharafi (Inria Saclay–Île-de-France, École Polytechnique), Nikolaus Hansen (Inria Saclay–Île-de-France), Rodolphe Le riche (CNRS), Dimo Brockhoff (Inria Saclay–Île-de-France) |
| 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 | Reinforcement Learning-Guided Multi-Environmental Selection Strategy for Constrained Multi-Objective Evolutionary Optimization | Mingcheng Zuo (china university of mining and technology), Yuan Xue (china university of mining and technology), Dunwei Gong (Qingdao University of Science and Technology), Shujing Gao (Qingdao University of Science and Technology), Yongde Guo (University of Macau) |
| EML | GLCM and Genetic Algorithms for Automated Diabetic Retinopathy Prediction Based on Retinal Images | Michał Gandor (Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology, Cracow, Poland), Wojciech Książek (Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology, Cracow, Poland) |
| EMO | Local Self-Adaptive Mutation: Enhancing Multi-Objective Optimization through Localized Operator Selection and Parameter Adaptation | Michał Antkiewicz (Wroclaw University of Science and Technology) |
| 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) |
| BBSR | Evolutionary Generation of Random Surreal Numbers for Benchmarking | Matthew Roughan (University of Adelaide) |
| ENUM | Efficient Quality Diversity Optimization with Monte Carlo Bayesian Sampling | Matteo Palmas (Robert Bosch Gmbh, University of Genoa), Varun Bhatt (University of Southern California), Shihan Zhao (University of Southern California), Stefanos Nikolaidis (University of Southern California), Ralph Lange (Robert Bosch Gmbh), Michaela Klauck (Robert Bosch Gmbh) |
| L4EC | Class Incremental Learning for Algorithm Selection | Mate Botond Nemeth (Edinburgh Napier University), Emma Hart (Edinburgh Napier University), Kevin Sim (Edinburgh Napier University), Quentin Renau (Edinburgh Napier University) |
| ECOM | An analysis of training models to evolve relocation rules for the container relocation problem | Marko Đurasević (University of Zagreb, Faculty of Electrical Engineering and Computing), Mateja Đumić (School of Applied Mathematics and Informatics J. J. Strossmayer University of Osijek), Francisco Javier Gil Gala (University of Oviedo. Department of Computing), Domagoj Jakobović (University of Zagreb, Faculty of Electrical Engineering and Computing) |
| RWA | The Segregated and Hybrid TBPSA algorithm with applications in SRF test pattern scheduling | Marius-Octavian Bulhac (Alexandru Ioan Cuza University), Nicolae-Eugen Croitoru (Alexandru Ioan Cuza University) |
| 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) |
| SI | Hybrid-Surrogate-Assisted Particle Swarm Optimization with Adaptive Surrogate Selection for Solving High-Dimensional Expensive Optimization Problems | Maoxin He (Xiangtan University), Chixin Xiao (Xiangtan University), Dechen Jiang (Xiangtan University) |
| ECOM | Automated Design of Heuristics with Genetic Programming for the Electric Vehicle Routing Problem with Partial Recharging | Magda Smolić-Ročak (University of Zagreb), Marko Đurasević (University of Zagreb), Josip Hrvatić (University of Zagreb), Francisco Javier Gil Gala (University of Oviedo, Department of Computer Science) |
| GECH | GOM-Based Compatible Substitutions Optimization for Variable-Length Representation Gray-Box Problems | Maciej Komosinski (Poznan University of Technology), Konrad Miazga (Poznan University of Technology) |
| CS | Size Matters: Variable-Length Bones in Evolvable Modular Robots | Maarten Alexander Stork (University of Amsterdam, Vrije Universiteit Amsterdam), Roy de Regt (Vrije Universiteit Amsterdam, University of Amsterdam), Duy Tan Robin Nguyen (Vrije Universiteit Amsterdam), Agoston Endre Eiben (Vrije Universiteit Amsterdam) |
| EMO | CRSGA: Cluster-Based Region Selection Genetic Algorithm Solving Multi-Objective Travelling Thief Problem | Lukasz P. Olech (-), Paweł B. Myszkowski (Wroclaw University of Science and Technology), Konrad Gmyrek (Wroclaw University of Science and Technology) |
| RWA | Improving Continuous Coverage Path Planning through Subpath Selection and Multi-Objective Bilevel Optimization | Lukas Bostelmann-Arp (Otto-von-Guericke University), Christoph Steup (Otto-von-Guericke University), Sanaz Mostaghim (Otto-von-Guericke University, Fraunhofer Institute for Transportation and Infrastructure Systems IVI) |
| EML | Reinforcement Learning-based Cloud Autoscaler Initialization via Evolutionary Algorithms | Luciano Ivan Robino (ISISTAN, Universidad Nacional de Cuyo), Elina Pacini (LabSIn, Universidad Nacional de Cuyo), Yisel Garí (LabSIn, Universidad Nacional de Cuyo), Cristian Mateos (ISISTAN), Virginia Yannibelli (ISISTAN), David Monge (Universidad Nacional de Cuyo) |
| GECH | Riesz Energy-Based Hybrid Algorithms for Constrained Multi-Objective Optimization | Lourdes Uribe (Universidad Anáhuac México), Yael Andrade-Ibarra (Instituto Politécnico Nacional), Adriana Lara (Instituto Politécnico Nacional) |
| 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) |
| GECH | Adaptive Reference Vectors Cooperate with Generalized Pareto Dominance for Irregular Many-objective Problems | Liusheng Zeng (Jiangnan University), Yuchen Li (Nanjing University of Science and Technology), Jingxue Hu (Jiangnan University), Shuwei Zhu (Jiangnan University), Meiji Cui (Nanjing University of Science and Technology) |
| GECH | Towards Deep Optimization in Operations Scheduling | Linus Danardya (Alliance Manchester Business School, The University of Manchester), Joshua Knowles (Alliance Manchester Business School, The University of Manchester), Richard Allmendinger (Alliance Manchester Business School, The University of Manchester) |
| 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) |
| 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) |
| GA | An LLM-Based Genetic Algorithm for Prompt Engineering | Leandro Augusto Loss (AML RightSource, ESSCA School of Management), Pratikkumar Dhuvad (AML RightSource) |
| GP | Genetic Programming Algorithm with a Fast Logical Search for Analyzing Graph Contagion | Krzysztof Michalak (Wroclaw University of Economics) |
| GP | Geometric Semantic Genetic Programming for Evolving Real-Valued Functions with Order Awareness | Kritpol Bunjerdtaweeporn (University of Exeter), Alberto Moraglio (University of Exeter) |
| ECOM | LDEGR: A Novel Hybrid Algorithm for Multi-Skill Resource-Constrained Project Scheduling in Large-Scale | Konrad Gmyrek (Wroclaw University of Science and Technology), Pawel B. Myszkowski (Wroclaw University of Science and Technology), Jan Gregor (CertiCon a.s.), Lukasz O. Olech (-) |
| RWA | Adaptive Denoising of Sequential Data with Multi-Objective Genetic Algorithms | Kok Cheng Tan (University of South Florida), Dmytro Vitel (University of South Florida), Daniel Zantedeschi (University of South Florida), Alessio Gaspar (University of South Florida) |
| GA | Evolutionary Black-box Patch Attacks on Face Verification | Khoa Tran (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)), Linh Ly (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)), Ngoc Hoang Luong (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)) |
| ENUM | Search Space Selection Using Constrained Mixed-Integer Optimization Method | Kento Uchida (Yokohama National University), Yohei Watanabe (Yokohama National University), Ryoki Hamano (CyberAgent), Shinichi Shirakawa (Yokohama National University) |
| EML | SLIME: Supralocal Interpretable Model-Agnostic Explanations via Evolved Equation-Based Surrogates | Kei Sen Fong (National University of Singapore), Mehul Motani (National University of Singapore) |
| GA | Local Search Integrated Genetic Algorithms for Solving the Colored Traveling Salesman Problem | Karuna Panwar (Indian Institute of Technology Roorkee), Kusum Deep (Indian Institute of Technology Roorkee) |
| 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 | 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) |
| 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) |
| EMO | Multi-objective Traveling Salesman Problem with Profits and Passengers: Exact, Heuristic and Evolutionary Approaches | Juvenal Bruno Andrade da Silva (Federal University of Bahia, Institute of Computing), Tarcisio Assis Pereira Brito (Federal University of Bahia, Institute of Computing), Ricardo Araújo Rios (Federal University of Bahia, Institute of Computing), Tatiane Nogueira Rios (Federal University of Bahia, Institute of Computing), Islame Felipe da Costa Fernandes (Federal University of Bahia, Institute of Computing) |
| RWA | Empowering Quantum Chemistry through Evolutionary Neural Architecture Search | Junfeng Zhao (Northeastern University), Lixin Tang (Northeastern University), Xiangman Song (Northeastern University) |
| SI | Ant Colony Optimization for Route Planning of Multiple Tourists | Jun Zheng (Nanjing University of Information Science and Technology), Qiang Yang (Nanjing University of Information Science and Technology), Dan-Ting Duan (Communication University of China), Pei-Lan Xu (Nanjing University of Information Science and Technology), Cheng-Zhi Qu (Nanjing University of Information Science and Technology), Zhen-Yu Lu (Nanjing University of Information Science and Technology), Jun Zhang (Hanyang University) |
| EML | Partition2Vec - Towards Representation Learning for Evolutionary Clustering using Siamese Autoencoders | Julia Handl (University of Manchester) |
| 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) |
| RWA | Search-based Inference of Class Invariants | Juan Manuel Copia (IMDEA Software Institute, Universidad Politécnica de Madrid), Facundo Molina (IMDEA Software Institute), Alessandra Gorla (IMDEA Software Institute), Nazareno Aguirre (Universidad Nacional de Rio Cuarto), Pablo Ponzio (Universidad Nacional de Rio Cuarto) |
| RWA | A Two-step Approach to Find Short Compilation Transformation Sequences for Optimal Software Runtime Performance | Juan Carlos de la Torre (University of Cadiz), José Miguel Aragón-Jurado (University of Cadiz), Javier Jareño (University of Cadiz), Bernabé Dorronsoro (University of Cadiz), Patricia Ruiz (University of Cadiz) |
| NE | Surrogate-Assisted Genetic Programming in Efficient Neural Architecture Search for Image Segmentation | José-Antonio Fuentes-Tomás (University of Veracruz), Efrén Mezura-Montes (University of Veracruz), Héctor-Gabriel Acosta-Mesa (University of Veracruz), David Herrera-Sánchez (University of Veracruz) |
| GP | Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples | Jose Guadalupe Hernandez (Cedars-Sinai Medical Center), Anil Kumar Saini (Cedars-Sinai Medical Center), Gabriel Ketron (Cedars-Sinai Medical Center), Jason Moore (Cedars-Sinai Medical Center) |
| EML | Evaluating the Generalizability of Machine Learning Pipelines When Using Lexicase or Tournament Selection | Jose Guadalupe Hernandez (Cedars-Sinai Medical Center), Anil Kumar Saini (Cedars-Sinai Medical Center), Ankit Gupta (Michigan State University), Jason Moore (Cedars-Sinai Medical Center) |
| 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) |
| EMO | Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on Evolutionary Algorithms | Jinglin Wang (Southern University of Science and Technology), Hongyu Zhu (Southern University of Science and Technology), Yang Nan (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology) |
| EML | Sparse Transformer for Long-term Forecasting via Genetic Algorithm | Jingeun Kim (Gachon University), Yourim Yoon (Gachon University) |
| L4EC | An LLM-Based Multi-Agent Framework for Evolutionary Blackbox Optimization | Jill Baumann (Carl von Ossietzky Universität Oldenburg), Oliver Kramer (Carl von Ossietzky Universität Oldenburg) |
| GP | Adaptive Multi-Tree Genetic Programming for Multiple Feature Construction | Jiaxin Niu (College of Information Science and Technology, Hebei Agricultural University), Xiaoying Gao (School of Engineering and Computer Science, Victoria University of Wellington), Minghui Bai (College of Information Science and Technology,Hebei Agricultural University), Jianbin Ma (College of Information Science and Technology,Hebei Agricultural University) |
| GECH | A Framework for Automatically Setting Multiple Penalty Weights in Quadratic Unconstrained Binary Optimization | Jiajie Liu (University of Exeter), Alberto Moraglio (University of Exeter) |
| 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) |
| RWA | Symbolic Regression for Modelling Decarbonisation Pathways in the Global Energy-Economy-Climate System | James McDermott (University of Galway), James Glynn (ESMA), Iain Morrow (OpenBox), Evangelos Panos (Energy Economics Group, Laboratory for Energy Systems Analysis, PSI Centers for Nuclear Engineering & Sciences and Energy & Environmental Sciences) |
| NE | Low Rank Factorizations are Indirect Encodings for Evolved Neural Networks | Jack Garbus (Brandeis University), Jordan Pollack (Brandeis University) |
| RWA | Optimizing Wind Farm Project Assessments Using Genetic Algorithms | Italo Firmino da Silva (UFSC), Telles B. Lazzarin (UFSC), Lenon Schmitz (UFSC), Alison R. Panisson (UFSC) |
| 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) |
| NE | Designing morphologies of soft medical devices using cooperative neuro coevolution | Hugo Alcaraz Herrera (University of the West of England), Michail-Antisthenis Tsompanas (University of the West of England), Igor Balaz (University of Novi Sad), Andrew Adamatzky (University of the West of England) |
| 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) |
| RWA | Designing New Data Augmentation Functions for Fish Spectral Data by Genetic Programming | Huang Zhixing (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington), Jeremy S. Rooney (University of Otago), Keith C. Gordon (University of Otago), Daniel P. Killeen (The New Zealand Institute for Plant and Food Research Limited) |
| RWA | A Novel Decomposition-Based Algorithm for Optimizing Demand-Side Response in Dynamic Economic Emission Dispatch Considering Gridable Vehicles Management | Hongda Guo (Xiangtan University), Chixin Xiao (Xiangtan University), Dechen Jiang (Xiangtan University), Maoxin He (Xiangtan University) |
| EMO | A Continuation Method Based on CMA-ES | Hoang Nguyen Vu (Ecole Polytechnique, IP Paris), Dimo Brockhoff (Inria, Ecole Polytechnique, IP Paris) |
| EML | Hybrid Deterministic and Metaheuristic Optimization for Physical Adversarial Attack on End-to-End Autoencoder Wireless Communication Systems | Ho Viet Duc Luong (Hanoi University of Science and Technology), Trinh Van Chien (Hanoi University of Science and Technology), Lang Hong Nguyet Anh (Hanoi University of Science and Technology), Huynh Thi Thanh Binh (Hanoi University of Science and Technology) |
| RWA | Hiding Structure of Reconstructed Network from Subgraphs Using Evolutionary Multi-Objective Optimization | Hirotaka Kaji (Toyota Motor Corporation), Toshihiro Tanizawa (Toyota Motor Corporation) |
| EML | On the Investigation of Evolutionary Multi-Objective Optimization for Discrete Prompt Search | Hien H. Mai (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)), Ngoc Hoang Luong (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)) |
| RWA | Interval-Tree based Multi-Objective 3D Bin Packing using Evolutionary Extreme Point Heuristic | Hermann Foot (Fraunhofer-Insitute for Materialflow and Logistics) |
| BBSR | CRust_GP: A Framework for the Modular Construction and Evaluation of Cartesian Genetic Programming in Rust | Henning Cui (University of Augsburg), Jörg Hähner (University of Augsburg) |
| 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) |
| ENUM | Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality | Haruhito Nakagawa (Yokohama National University), Yutaro Yamada (Yokohama National University), Kento Uchida (Yokohama National University), Shinichi Shirakawa (Yokohama National University) |
| NE | EM-NAS: A Cell-Based Evolutionary Multi-scale Neural Architecture Search for Medical Image Segmentation | Hanyu Zhang (Northeastern University), Lixin Tang (Northeastern University), Xiangman Song (Northeastern University 东北大学) |
| 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) |
| ECOM | Destination-Oriented Route Construction for Ant Colony Optimization to Solve MinMax Multiple Travelling Salesmen Problems | Hai-Long Bai (Henan Normal University), Qiang Yang (Nanjing University of Information Science and Technology), Pei-Yan Yuan (Henan Normal University), Dan-Ting Duan (Communication University of China), Tao Li (Henan Normal University), Dong Liu (Henan Normal University), Jun Zhang (Hanyang University) |
| BBSR | Energy Efficiency of C++ Standard Random Number Generators | Gustavo Romero López (Universidad de Granada), JuanJulián Merelo Guervos (Universidad de Granada) |
| 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) |
| ENUM | Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis | Gjorgjina Cenikj (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Gašper Petelin (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Tome Eftimov (Jožef Stefan Institute) |
| NE | Curriculum learning with a hierarchical cellular encoding | Giacomo Vassallo (Università degli Studi di Trieste), Eleni Nisioti (IT University of Copenhagen), Joachim Winther Pedersen (IT University of Copenhagen), Erwan Plantec (IT University of Copenhagen), Milton Llera Montero (IT University of Copenhagen), Sebastian Risi (IT University of Copenhagen) |
| 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) |
| EMO | Multi-Objective Evolutionary Sunshade Design | Geoff Nitschke (University of Cape Town), Farzana Toma (University of Cape Town) |
| NE | Evolving Swarm-Robotic Behavioral Allocations | Geoff Nitschke (University of Cape Town), Bilal Aslan (University of Cape Town), Ameel Valjee (University of Cape Town) |
| 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) |
| BBSR | Othimi: A Block-Based Educational Programming Tool for Metaheuristic Design and Optimization | Gara Miranda (Universidad de La Laguna), Casiano Rodriguez-Leon (Universidad de La Laguna), Eduardo Segredo (Universidad de La Laguna) |
| 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) |
| 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) |
| NE | Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks | Fergal Stapleton (Maynooth University), Daniel Garcia Nunez (Maynooth University), Yanan Sun (Sichuan University), Edgar Galvan (Maynooth University) |
| RWA | Application of the Multi-Parent Biased Random-Key Genetic Algorithm (MP-BRKGA) with Geo-Information Data for Automated Heating Network Planning | Felix Lewandowski (Hamburg University of Applied Sciences), Petrit Patrick Vuthi (Hamburg University of Applied Sciences), Jan Sudeikat (Hamburg University of Applied Sciences), Irene Peters (HafenCity Univerisity) |
| EMO | Efficient Contextual Preferential Bayesian Optimization with Historical Examples | Farha A. Khan (Continental Automotive Components (India) Private Ltd.), Tanmay Chakraborty (Continental Automotive Technologies GmbH), Joerg P. Dietrich (Continental Automotive Technologies GmbH), Christian Wirth (Continental Automotive Technologies GmbH) |
| ECOM | Solution Approaches for the Balanced Task Planning Problem | Fabian Nagler (TU Wien, MCP GmbH), Nysret Musliu (TU Wien), Felix Winter (TU Wien) |
| NE | POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator | Eugenio Lomurno (Politecnico di Milano), Samuele Mariani (Politecnico di Milano), Matteo Monti (Politecnico di Milano), Matteo Matteucci (Politecnico di Milano) |
| GECH | Evolutionary and Coevolutionary Multi-Agent Design Choices and Dynamics | Erik Hemberg (MIT CSAIL, ALFA Group), Stephen Moskal (MIT), Eric Liu (MIT), Lucille Fuller (MIT), Una-May O'Reilly (MIT) |
| RWA | Evolutionary Optimization of the Gas/Charging Stations Topology for the Electric Vehicle Market | Enrique Mateos-Melero (Universidad Carlos III de Madrid), Javier Moralejo-Piñas (Universidad Carlos III de Madrid), Francisco Martinez-Gil (ETSE-UV. Universitat de València), María Soriano (REPSOL Technology Lab), Fernando Fernández (Universidad Carlos III de Madrid) |
| ENUM | Enhancing CMA-ES-PDM for Mixed-Integer Black-Box Optimization | Duc Manh Nguyen (Hanoi National University of Education) |
| EMO | GraCo: Towards GRammar Assisted COunterfactuals | Dhiraj Kumar Singh (University of Limerick), Allan de Lima (University of Limerick), Darian Reyes Fernández de Bulnes (University of Galway), Conor Ryan (University of Limerick) |
| EML | Q-Learning-Assisted DE and PSO for Enhanced Dose Planning in Radiotherapy | Devika Gautam (Indian Institute of Technology Roorkee), Yogesh Kumar (Indian Institute of Technology Roorkee) |
| RWA | Evolutionary Level Repair | Debosmita Bhaumik (University of Malta), Julian Togelius (New York University, modl.ai), Georgios N. Yannakakis (University of Malta, modl.ai), Ahmed Khalifa (University of Malta) |
| GP | An empirical study on the feature selection abilities of SLIM-GSGP | Davide Farinati (Universidade Nova de Lisboa), Leonardo Vanneschi (Universidade Nova de Lisboa) |
| BBSR | An Investigation of Inherent Structural Bias in Established Benchmark Sets | David Ibehej (Brno University of Technology), Alexandros Tzanetos (Jönköping University), Martin Juricek (Brno University of Technology), Jakub Kudela (Brno University of Technology) |
| GA | A Parameter Adaptive Genetic Algorithm With Restarts for Flexible Job Shop Scheduling Problems with Worker Flexibility | David Hutter (FH Vorarlberg University of Applied Sciences, JR Centre for Robust Decision Making), Thomas Steinberger (FH Vorarlberg University of Applied Sciences, JR Centre for Robust Decision Making), Michael Hellwig (FH Vorarlberg University of Applied Sciences, JR Centre for Robust Decision Making) |
| RWA | Biomarker Modelling in Omics Technologies Using Symbolic Regression | David Eduardo Rojas-Velazquez (Utrecht University), Alberto Tonda (INRAE), Alejandro Lopez-Rincon (Utrecht University) |
| RWA | Connected and Autonomous Shuttles for Optimal Passenger Transportation and Last-Mile Parcel Delivery | Daniel H. Stolfi (Luxembourg Institute of Science & Technology), Elhadja Chaalal (Luxembourg Institute of Science & Technology), Sébastien Faye (Luxembourg Institute of Science & Technology) |
| 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) |
| RWA | Degree is Important: On Evolving Homogeneous Boolean Functions | Claude Carlet (University of Bergen), Marko Ðurasevic (University of Zagreb), Domagoj Jakobovic (University of Zagreb), Luca Mariot (University of Twente), Stjepan Picek (Radboud University) |
| BBSR | IGJSP: A Reproducible Instance Generator for Job Shop Scheduling | Christian Perez (Polytechnic University of Valencia), Carlos March (Polytechnic University of Valencia), MiguelA. Salido (Polytechnic University of Valencia) |
| ENUM | Exploring Heterogeneity in Constrained Optimization: An Adaptive Two-Stage Surrogate-Assisted Evolutionary Algorithm | Chenyan Gu (Xidian University), Handing Wang (Xidian University) |
| EML | A Two-Stage Explanation-Based Method Using Particle Swarm Optimization for Black-Box Adversarial Attack | Chaoxin Zhang (Dalian University of Technology), Gonglin Yuan (Dalian University of Technology), Hongwei Ge (Dalian University of Technology), Yaqing Hou (Dalian University of Technology) |
| GP | Transformer-Guided Genetic Programming for Symbolic Regression | chao xu (South China University of Technology), Junlan Dong (South China University of Technology), yanqiao lv (South China University of Technology), Jinghui Zhong (South China University 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) |
| ENUM | Using Variable Interaction Graphs to Improve Particle Swarm Optimization | Casimir Czworkowski (Johns Hopkins University), John W. Sheppard (Montana State University) |
| RWA | Multi-Objective Signal Optimization to Balance Multiple Conflicting Metrics in RIS-Assisted MIMO Systems | Bui Trong Duc (Hanoi University of Science and Technology), Trinh Van Chien (Hanoi University of Science and Technology), Hien Quoc Ngo (Queen's University Belfast), Huynh Thi Thanh Binh (Hanoi University of Science and Technology) |
| THEORY | Evolving the Level of Selective Pressure - A Game-Theoretical Perspective | Bruno Gašperov (University of Ljubljana), Branko Šter (University of Ljubljana) |
| GECH | On the Generation of Diverse Solution Sets in a Tourist Trip Design Problem -- An Experimental Study | Boris Pérez-Cañedo (Universidad de Cienfuegos), Pavel Novoa-Hernández (Universidad de La Laguna), David A. Pelta (Universidad de Granada) |
| RWA | Single- and Multi-Objective Genetic Optimization of Hyperspectral Image Pre-Processing | Bogdan Ruszczak (Opole University of Technology, KP Labs), Sabina Kubiciel-Lodzińska (Opole University of Technology), Katarzyna Rudnik (Opole University of Technology), Zineb Bougriche (Opole University of Technology), Agata Maria Wijata (Silesian University of Technology, KP Labs), Jakub Nalepa (Silesian University of Technology) |
| EMO | A Simple Combination of Local Search and MOEAD for Combinatorial Multi-objective Optimization | Bilel Derbel (Univ. Lille, Inria Lille) |
| EMO | Model-Adaptive Reference Points Generation based on Gaussian Process for Many-Objective Optimization | Atiya Masood (Iqra University, Victoria University) |
| RWA | Balancing Metabolic Homeostasis and Enzyme Cost with Multi-Objective Evolutionary Algorithms | Arthur Lequertier (INRAE, Université Paris-Saclay), Alberto Tonda (INRAE, Université Paris-Saclay), Wolfram Liebermeister (INRAE, Université Paris-Saclay) |
| EMO | Targeting Evaluation, Computation and Interaction Costs in Expensive Black-Box Multi-Objective Optimization | Arash Heidari (Ghent University, imec), Sebastian Rojas Gonzalez (Ghent University), Ivo Couckuyt (Ghent University, imec) |
| EMO | Improving the Convergence and Diversity of Evolutionary Algorithms in Biobjective Optimization Problems | Antonio Borrego (Universidad de Málaga), Mariano Luque (Universidad de Málaga), Rubén Saborido (Universidad de Málaga) |
| 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) |