- 178 papers have been accepted as full papers. They will be published in the Proceedings (and hence in the Digital Library) and presented at one of the sessions of the conference.
- Search the list below by typing text in the column headers.
- See also the list of accepted posters.
- The Call for Papers and the Papers Submission Instructions are still available for your information.
List of Accepted Papers
| Track | Title | Authors |
|---|---|---|
| GECH | Generative Design through Quality-Diversity Data Synthesis and Language Models | Adam Gaier (Autodesk), James Stoddart (Autodesk), Lorenzo Villaggi (Autodesk), Shyam Sudhakaran (Autodesk) |
| RWA | Quality Diversity Approaches for Time-Use Optimisation to Improve Health Outcomes | Adel Nikfarjam (The University of Adelaide), Ty Stanford (The University of South Australia), Aneta Neumann (The University of Adelaide), Dorothea Dumuid (The University of South Australia), Frank Neumann (The University of Adelaide) |
| EMO | Innovation Path: Discovering an Ordered Set of Optimized Intermediate Solutions from an Existing to a Desired Solution | Ahmer Khan (Michigan State University), Kalyanmoy Deb (Michigan State University) |
| RWA | Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark | Akinolq Ogunsemi (National Subsea Centre - Robert Gordon University), John McCall (National Subsea Centre, Robert Gordon University), Ciprian Zavoianu (National Subsea Centre, Robert Gordon University), Lee Ashley Christie (National Subsea Centre, Robert Gordon University) |
| ECOM | Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution | Alejandro Marrero (Universidad de La Laguna), Eduardo Segredo (Universidad de La Laguna), Coromoto León (Universidad de La Laguna), Emma Hart (Edinburgh Napier University) |
| EML | Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis | Alexa A. Woodward (Optum Life Sciences), Harsh Bandhey (Cedars-Sinai Medical Center), Jason H. Moore (Cedars-Sinai Medical Center), Ryan J. Urbanowicz (Cedars-SiCnai Medical Center) |
| BBSR | New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization | Ali Ahrari (The University of New South Wales), Jonathan Fieldsend (University of Exeter), Mike Preuss (Leiden University), Xiaodong Li (RMIT University), Michael G. Epitropakis (Lancaster University) |
| EML | Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation | Alican Mertan (University of Vermont), Nick Cheney (University of Vermont) |
| RWA | Genetic Meta Cipher | Aline Hufschmitt (AMSCC / CReC), Patrice Parraud (AMSCC / CReC) |
| THEORY | Runtime Analysis of Coevolutionary Algorithms on a Class of Symmetric Zero-Sum Games | Alistair Benford (University of Birmingham), Per Kristian Lehre (University of Birmingham) |
| RWA | The Lunar Lander Landing Site Selection Benchmark Reexamined: Problem Characterization and Algorithm Performance | Aljoša Vodopija (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Jordan N. Cork (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Bogdan Filipič (Jožef Stefan Institute, Jožef Stefan International Postgraduate School) |
| EML | Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks | Amanda Bertschinger (University of Vermont), James Bagrow (University of Vermont), Joshua Bongard (University of Vermont) |
| NE | Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search | An Vo (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)) |
| THEORY | Runtime Analyses of NSGA-III on Many-Objective Problems | Andre Opris (University of Passau), Duc-Cuong Dang (University of Passau), Frank Neumann (University of Adelaide), Dirk Sudholt (University of Passau) |
| CS | Neural Hebbian Learning | Andrea Ferigo (University of Trento), Elia Cunegatti (University of Trento), Giovanni Iacca (University of Trento) |
| EMO | Enhancing Algorithm Performance Prediction in Constrained Multiobjective Optimization Using Additional Training Problems | Andrejaana Andova (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Jordan N. Cork (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Tea Tušar (Jožef Stefan Institute, Jožef Stefan International Postgraduate School), Bogdan Filipič (Jožef Stefan Institute, Jožef Stefan International Postgraduate School) |
| GA | Reinforcing Inter-Class Dependencies in the Asymmetric Island Model | Andrew Festa (Oregon State University), Guarav Dixit (Oregon State University), Kagan Tumer (Oregon State University) |
| GP | Effective Adaptive Mutation Rates for Program Synthesis | Andrew Ni (Amherst College), Lee Spector (Amherst College, University of Massachusetts Amherst) |
| EML | Using Bayesian Optimization to Improve Hyperparameter Search in TPOT | Angus Kenny (The University of New South Wales), Tapabrata Ray (The University of New South Wales), Steffen Limmer (Honda Research Institute Europe GmbH), Hemant Kumar Singh (The University of New South Wales), Tobias Rodemann (Honda Research Institute Europe GmbH), Markus Olhofer (Honda Research Institute Europe GmbH) |
| SI | A Differential Pheromone Grouping Ant Colony Optimization Algorithm for the 1-D Bin Packing Problem | Aseel Ali (University of Exeter, Gifted Guardianship Committee, Minster of Education, Iraq), Edward Keedwell (University of Exeter), Ayah Helal (University of Exeter) |
| RWA | Interactive Evolutionary Multiobjective Optimization of Primer Design with Uncertain Objectives | Atanu Mazumdar (Aalto University), Bhavya Jain (IIT BHU), Monisha Mitra (University of Helsinki), Prodyut Dhar (IIT BHU) |
| EMO | User-Preference Based Evolutionary Algorithms for Solving Multi-Objective Nonlinear Minimum Cost Flow Problems | Behrooz Ghasemishabankareh (RMIT University, JDR Software), Xiaodong Li (RMIT University), Melih Ozlen (RMIT University) |
| ECOM | Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics | Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Martin S. Krejca (École Polytechnique, Laboratoire d'Informatique (LIX)), Nguyen Vu (École Polytechnique) |
| EMO | A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis | Benjamin Doerr (École Polytechnique), Joshua Knowles (Schlumberger), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide) |
| GECH | Mixed Binomial Distributions for Binary Mutation Operators | Brahim Aboutaib (University of Minnesota), Andrew M. Sutton (University of Minnesota) |
| NE | Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution | Brandon Morgan (University of Oklahoma), Dean Hougen (University of Oklahoma) |
| NE | Evolving Loss Functions for Specific Image Augmentation Techniques | Brandon Morgan (University of Oklahoma), Dean Hougen (University of Oklahoma) |
| ECOM | Large Language Models for the Automated Analysis of Optimization Algorithms | Camilo Chacón Sartori (Artificial Intelligence Research Institute (IIIA) - Spanish National Research Council (CSIC).), Christian Blum (Artificial Intelligence Research Institute (IIIA) - Spanish National Research Council (CSIC).), Gabriela Ochoa (University of Stirling) |
| ECOM | An Extension of STNWeb Functionality: On the Use of Hierarchical Agglomerative Clustering as an Advanced Search Space Partitioning Strategy | Camilo Chacón Sartori (Artificial Intelligence Research Institute (IIIA) - Spanish National Research Council (CSIC).), Christian Blum (Artificial Intelligence Research Institute (IIIA) - Spanish National Research Council (CSIC).), Gabriela Ochoa (University of Stirling) |
| BBSR | Temporal real and surrogate fitness landscape analysis for expensive bi-objective optimisation | Cedric Jakob Rodriguez (Leiden University Medical Center, Centrum Wiskunde & Informatica (CWI)), Sarah L. Thomson (Edinburgh Napier University), Tanja Alderliesten (Leiden University Medical Center), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| ECOM | Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems | Cheng Gong (City University of Hong Kong, Southern University of Science and Technology), Yang Nan (Southern University of Science and Technology), Meng Lie Pang (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology), Qingfu Zhang (City University of Hong Kong) |
| EMO | Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations | Cheng Gong (City University of Hong Kong, Southern University of Science and Technology), Yang Nan (Southern University of Science and Technology), Meng Lie Pang (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology), Qingfu Zhang (City University of Hong Kong) |
| RWA | Differential Evolution Based on Light-Weight-Surrogate for Solving High-Dimensional Energy Management Problem | Chixin Xiao (Xiangtan University), Maoxin He (Xiangtan University), Dechen Jiang (Xiangtan University) |
| RWA | Optimizing Electric Vehicle Charging Station Placement Integrating Daily Mobility Patterns and Residential Locations | Christian Cintrano (University of Malaga), Jamal Toutouh (University of Malaga, MIT), Sergio Nesmachnow (Universidad de la República) |
| EML | LLM Guided Evolution - The Automation of Models Advancing Models | Clint Max Morris (Georgia Tech Research Institute), Michael Jurado (Georgia Tech Research Institute), Jason P. Zutty (Georgia Tech Research Institute) |
| NE | Evolving Generalist Controllers to Handle a Wide Range of Morphological Variations | Corinna Triebold (Vrije Universiteit Amsterdam), Anil Yaman (Vrije Universiteit Amsterdam) |
| ENUM | Sign-Averaging Covariance Matrix Adaptation Evolution Strategy | Daiki Morinaga (University of Tsukuba, RIKEN AIP), Youhei Akimoto (University of Tsukuba, RIKEN AIP) |
| BBSR | Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes | Danial Yazdani (University of Technology Sydney), Juergen Branke (University of Warwick), Mohammad Sadegh Khorshidi (University of Technology Sydney), Mohammad Nabi Omidvar (School of Computing and Leeds University Business School, University of Leeds), Xiaodong Li (RMIT University), Amir H. Gandomi (University of Technology Sydney, University Research and Innovation Center (EKIK)), Xin Yao (Southern University of Science and Technology) |
| GECH | Applying a Quantum Annealer to the Traffic Assignment Problem | Darren Chitty (University of Exeter), James Charles (City Science), Alberto Moraglio (University of Exeter), Ed Keedwell (University of Exeter) |
| ENUM | Density Descent for Diversity Optimization | David H. Lee (University of Southern California), Anishalakshmi V. Palaparthi (University of Southern California), Matthew C. Fontaine (University of Southern California), Bryon Tjanaka (University of Southern California), Stefanos Nikolaidis (University of Southern California) |
| EMO | An Updated Performance Metric for Preference-Based Evolutionary Multi-Objective Optimization Algorithms | Deepanshu Yadav (Indian Institute of Technology Madras), Palaniappan Ramu (Indian Institute of Technology Madras), Kalyanmoy Deb (Michigan State University) |
| EMO | A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax | Denis Antipov (The University of Adelaide), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide) |
| THEORY | Already Moderate Population Sizes Provably Yield Strong Robustness to Noise | Denis Antipov (The University of Adelaide), Benjamin Doerr (École Polytechnique), Alexandra Ivanova (HSE University, Skoltech) |
| SBSE | Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications | Deyun Lyu (Kyushu University), Zhenya Zhang (Kyushu University), Paolo Arcaini (National Institute of Informatics), Fuyuki Ishikawa (National Institute of Informatics), Thomas Laurent (Trinity College Dublin), Jianjun Zhao (Kyushu University) |
| BBSR | Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics | Diederick Vermetten (Leiden University), Carola Doerr (Sorbonne University, CNR), Hao Wang (Leiden University), Anna V. Kononova (Leiden University), Thomas Bäck (Leiden University) |
| RWA | Redesigning road infrastructure to integrate e-scooter micromobility as part of multimodal transportation | Diego Daniel Pedroza-Perez (ITIS Software, Universidad de Málaga), Jamal Toutouh (ITIS Software, Universidad de Málaga), Gabriel Luque (ITIS Software, Universidad de Málaga) |
| EMO | Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis | Duc-Cuong Dang (University of Passau), Andre Opris (University of Passau), Dirk Sudholt (University of Passau) |
| THEORY | The SLO Hierarchy of pseudo-Boolean Functions and Runtime of Evolutionary Algorithms | Duc-Cuong Dang (University of Passau), Per Kristian Lehre (University of Birmingham) |
| RWA | A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task | Eduardo Bouhid Neto (Federal University of São Paulo), Fabio Augusto Faria (Federal University of São Paulo), Amanda de Almeida Sales de Oliveira (University of Sao Paulo), Alvaro Luiz Fazenda (Federal University of São Paulo) |
| L4EC | Deep Neural Crossover | Eliad Shem-Tov (Ben-Gurion University), Achiya Elyasaf (Ben-Gurion University) |
| EML | Multi-Objective Evolutionary Hindsight Experience Replay for Robot Manipulation Tasks | Erdi Sayar (Technical University of Munich), Giovanni Iacca (University of Trento), Alois Knoll (Technical University of Munich) |
| EML | Cooperative Coevolutionary Spatial Topologies for Autoencoder Training | Erik Hemberg (MIT CSAIL, ALFA Group), Una-May O'Reilly (MIT CSAIL, ALFA Group), Jamal Toutouh (University of Malaga) |
| GP | Multiview Symbolic Regression | Etienne Russeil (Université Clermont Auvergne), Fabricio Olivetti de Franca (Universidade Federal do ABC), Konstantin Malanchev (Lomonosov Moscow State University, McWilliams Center for Cosmology, Department of Physics), Bogdan Burlacu (University of Applied Sciences Upper Austria), Emille Ishida (Université Clermont Auvergne), Marion Leroux (Université Clermont Auvergne), Clément Michelin (Université Clermont Auvergne), Guillaume Moinard (Sorbonne Université), Emmanuel Gangler (Université Clermont Auvergne) |
| EML | Influence Based Fitness Shaping for Coevolutionary Agents | Everardo Gonzalez (Oregon State University), Siddarth Viswanathan (California Polytechnic State University, San Luis Obispo, Oregon State University), Kagan Tumer (Oregon State University) |
| RWA | Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals | Evi Maria Catharina Sijben (Centrum Wiskunde & Informatica (CWI)), Jeroen Casper Jansen (Leiden University Medical Center), Peter Alexander Nicolaas Bosman (Centrum Wiskunde & Informatica (CWI)), Tanja Alderliesten (Leiden University Medical Center) |
| RWA | Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification | Fabio Faria (Federal University of São Paulo), Luiz Buris (Federal University of São Paulo), Luis Pereira (Federal University of São Paulo), Fabio Cappabianco (Federal University of São Paulo) |
| EMO | Extending Pareto Dominance for Multi-Constraints Satisfaction and Multi-Performance Enhancement in Constrained Multi-Objective Optimization | Fan Yu (Central South University), Qun Chen (中南大学) |
| RWA | 2-Step Evolutionary Algorithm for the generation of dungeons with lock door missions using horizontal symmetry | Felipe Dumont (UTFSM), Riff Maria-Cristina (UTFSM) |
| SBSE | Socialz: Multi-Feature Social Fuzz Testing | Francisco Zanartu (Monash University), Christoph Treude (Singapore Management University), Markus Wagner (Monash University) |
| GA | What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms | Furong Ye (Chinese Academy of Sciences), Frank Neumann (The University of Adelaide), Jacob de Nobel (Leiden University), Aneta Neumann (The University of Adelaide), Thomas Bäck (Leiden University) |
| EML | Informed Diversity Search for Learning in Asymmetric Multiagent Systems | Gaurav Dixit (Oregon State University), Kagan Tumer (Oregon State University) |
| ENUM | Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA | Georgios Andreadis (Leiden University Medical Center), Tanja Alderliesten (Leiden University Medical Center), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| GP | Searching for a Diversity of Interpretable Graph Control Policies | Giorgia Nadizar (MIGe, University of Trieste), Eric Medvet (DIA, University of Trieste), Dennis G. Wilson (ISAE-SUPAERO, University of Toulouse) |
| GA | The Role of the Substrate in CA-based Evolutionary Algorithms | Gloria Pietropolli (DIA, University of Trieste), Stefano Nichele (Østfold University College), Eric Medvet (DIA, University of Trieste) |
| GP | Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing | Guilherme Seidyo Imai Aldeia (Federal University of ABC), Fabricio Olivetti de França (Federal University of ABC), William G. La Cava (Harvard, Boston Children's Hospital) |
| GP | Minimum variance threshold for epsilon-lexicase selection | Guilherme Seidyo Imai Aldeia (Federal University of ABC), Fabricio Olivetti de França (Federal University of ABC), William G. La Cava (Harvard, Boston Children's Hospital) |
| ECOM | An Adaptive Interactive Routing-Packing Strategy for Split Delivery Vehicle Routing Problem with 3D Loading Constraints | Han Zhang (Southern University of Science and Technology, The Hong Kong Polytechnic University), Xin Yao (Lingnan University), Qing Li (The Hong Kong Polytechnic University) |
| EML | Evolutionary Multitasking with Two-level Knowledge Transfer for Multi-view Point Cloud Registration | Hangqi Ding (Xidian University), Haoran Xu (Xidian University), Yue Wu (Xidian University), Hao Li (Xidian University), Maoguo Gong (Xidian University), Wenping Ma (Xidian University), Qiguang Miao (Xidian University) |
| RWA | Multi-Objective Quality-Diversity for Crystal Structure Prediction | Hannah Janmohamed (Imperial College London, InstaDeep), Marta Wolinska (Imperial College London), Shikha Surana (InstaDeep), Thomas Pierrot (InstaDeep), Aron Walsh (Imperial College London), Antoine Cully (Imperial College London) |
| GP | Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression | Hengzhe Zhang (Victoria University of Wellington), Qi Chen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Wolfgang Banzhaf (Michigan State University), Mengjie Zhang (Victoria University of Wellington) |
| L4EC | Machine Learning-Enhanced Ant Colony Optimization for Column Generation | Hongjie Xu (RMIT University), Yunzhuang Shen (University of Technology Sydney), Yuan Sun (La Trobe University), Xiaodong Li (RMIT University) |
| ENUM | RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning | Hongqiao Lian (South China University of Technology), Zeyuan Ma (South China University of Technology), Hongshu Guo (South China University of Technology), Ting Huang (Xidian University), Yue-Jiao Gong (South China University of Technology) |
| RWA | Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys | Huy Quang Ngo (The University of Adelaide), Mingyu Guo (The University of Adelaide), Hung Nguyen (The University of Adelaide) |
| EMO | Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem | Ishara Hewa Pathiranage (The University of Adelaide), Frank Neumann (The University of Adelaide), Denis Antipov (The University of Adelaide), Aneta Neumann (The University of Adelaide) |
| ECOM | Effective 2- and 3-Objective MOEA/D Approaches for the Chance Constrained Knapsack Problem | Ishara Hewa Pathiranage (The University of Adelaide), Frank Neumann (The University of Adelaide), Denis Antipov (The University of Adelaide), Aneta Neumann (The University of Adelaide) |
| THEORY | Evolutionary Computation Meets Graph Drawing: Runtime Analysis for Crossing Minimisation on Layered Graph Drawings | Jakob Baumann (University of Passau), Ignaz Rutter (University of Passau), Dirk Sudholt (University of Passau) |
| ECOM | Generalised Kruskal Mutation for the Multi-Objective Minimum Spanning Tree Problem | Jakob Bossek (University of Paderborn), Christian Grimme (University of Münster) |
| ENUM | Direct Augmented Lagrangian Evolution Strategies | Jeremy Porter (Dalhousie University), Dirk V. Arnold (Dalhousie University) |
| GP | Sign Change Detection based Fitness Evaluation for Automatic Implicit Equation Discovery | Jiahao Wen (South China University of Technology), Junlan Dong (South China University of Technology), Jinghui Zhong (South China University of Technology) |
| EML | EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation | Jiahong Wei (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| EML | Pixel Logo Attack: Embedding Attacks as Logo-Like Pixels | Jiang Zhu (Xidian University), Hong Zhao (Xidian University), He Yu (Xidian University), Jing Liu (Xidian University) |
| L4EC | Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework | Jiyuan Pei (Southern University of Science and Technology), Jialin Liu (Southern University of Science and Technology), Yi Mei (Victoria University of Wellington) |
| NE | Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents | Joachim Winther Pedersen (IT University of Copenhagen), Erwan Plantec (IT University of Copenhagen), Eleni Nisioti (IT University of Copenhagen), Milton Montero (IT University of Copenhagen), Sebastian Risi (IT University of Copenhagen) |
| THEORY | A Tight $O(4^k/p_c)$ Runtime Bound for a ($mu$+1)GA on Jump$_k$ for Realistic Crossover Probabilities | Johannes Lengler (ETH Zurich), Andre Opris (University of Passau), Dirk Sudholt (University of Passau) |
| THEORY | Plus Strategies are Exponentially Slower for Planted Optima of Random Height | Johannes Lengler (ETH Zurich), Leon Schiller (ETH Zurich), Oliver Sieberling (ETH Zurich) |
| THEORY | Run Time Bounds for Integer-Valued OneMax Functions | Jonathan Gadea Harder (Hasso Plattner Institute, University of Potsdam), Timo Kötzing (Hasso Plattner Institute, University of Potsdam), Xiaoyue Li (Hasso Plattner Institute, University of Potsdam), Aishwarya Radhakrishnan (Hasso Plattner Institute, University of Potsdam), Janosch Ruff (Hasso Plattner Institute, University of Potsdam) |
| L4EC | GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies | Jonathan Wurth (University of Augsburg), Helena Stegherr (University of Augsburg), Michael Heider (University of Augsburg), Jörg Hähner (University of Augsburg) |
| RWA | Evolutionary Exploration of Triply Periodic Minimal Surfaces via Quality Diversity | Jordan T. Bishop (CSIRO), Jason Jooste (CSIRO), David Howard (CSIRO) |
| EML | Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative Coevolution | Joshua Cook (Oregon State University), Kagan Tumer (Oregon State University) |
| CS | Evolving Hierarchical Neural Cellular Automata | Kameron Bielawski (University of Vermont), Nate Gaylinn (University of Vermont), Cameron Lunn (University of Vermont), Kevin Motia (University of Vermont), Joshua Bongard (University of Vermont) |
| GECH | Lamarckian Co-design of Soft Robots via Transfer Learning | Kazuaki Harada (The University of Tokyo), Hitoshi Iba (The University of Tokyo) |
| GP | MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression | Kei Sen Fong (National University of Singapore), Mehul Motani (National University of Singapore) |
| ENUM | CMA-ES with Adaptive Reevaluation for Multiplicative Noise | Kento Uchida (Yokohama National University), Kenta Nishihara (Yokohama National University), Shinichi Shirakawa (Yokohama National University) |
| ENUM | CMA-ES for Safe Optimization | Kento Uchida (Yokohama National University), Ryoki Hamano (Yokohama National University), Masahiro Nomura (CyberAgent, Inc.), Shota Saito (Yokohama National University, SKILLUP NeXt Ltd.), Shinichi Shirakawa (Yokohama National University) |
| GP | A Functional Analysis Approach to Symbolic Regression | Kirill Antonov (Leiden University), Roman Kalkreuth (Sorbonne University), Kaifeng Yang (University of Applied Sciences Upper Austria), Thomas Bäck (Leiden University), Niki van Stein (Leiden University), Anna Kononova (Leiden University) |
| ECOM | Multi-objective Evolutionary Algorithm with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem | Kokila Perera (The University of Adelaide), Aneta Neumann (The University of Adelaide) |
| L4EC | Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization | Konstantin Dietrich (TU Dresden, ScaDS.AI), Diederick Vermetten (Leiden University), Carola Doerr (Sorbonne Université, CNRS), Pascal Kerschke (TU Dresden, ScaDS.AI) |
| SI | Emergent Behavior in Evolutionary Swarms for Machine Olfaction | Kordel Kade France (University of Texas at Dallas), Anirban Paul (University of Texas at Dallas), Ivneet Banga (University of Texas at Dallas), Shalini Prasad (University of Texas at Dallas) |
| ECOM | Classical Thermodynamics-based Parallel Annealing Algorithm for High-speed and Robust Combinatorial Optimization | Kyo Kuroki (Tokyo Institute of Technology), Satoru Jimbo (Tokyo Institute of Technology), Thiem Van Chu (Tokyo Institute of Technology), Masato Motomura (Tokyo Institute of Technology), Kazushi Kawamura (Tokyo Institute of Technology) |
| EML | NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks | Leonardo Lucio Custode (Department of Information Engineering and Computer Science, University of Trento), Ivanoe De Falco (Institute for High-Performance Computing and Networking, National Research Council of Italy), Antonio Della Cioppa (Natural Computation Lab - DIEM, University of Salerno, Institute for High-Performance Computing and Networking, National Research Council of Italy), Giovanni Iacca (Department of Information Engineering and Computer Science, University of Trento), Umberto Scafuri (Institute for High-Performance Computing and Networking, National Research Council of Italy) |
| NE | Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration | Lishuang Wang (Southern University of Science and Technology), Mengfei Zhao (Southern University of Science and Technology), Enyu Liu (Southern University of Science and Technology), Kebin Sun (Southern University of Science and Technology), Ran Cheng (Southern University of Science and Technology) |
| EMO | Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum | Longcan Chen (City University of Hong Kong, Southern University of Science and Technology), Lie Meng Pang (Southern University of Science and Technology), Qingfu Zhang (City University of Hong Kong), Hisao Ishibuchi (Southern University of Science and Technology) |
| GP | Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds | Longfei Felix Yan (Victoria University of Wellington), Hui Ma (Victoria University of Wellington), Gang Chen (Victoria University of Wellington) |
| EML | CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs | Lukasz Tulczyjew (Silesian University of Technology), Michal Przewozniczek (Wroclaw University of Technology), Renato Tinós (University of São Paulo), Agata M. Wijata (Silesian University of Technology), Jakub Nalepa (Silesian University of Technology) |
| GECH | Distance-Targeting Mutation Operator for Evolutionary Design of 3D Structures | Maciej Komosinski (Poznan University of Technology), Agnieszka Mensfelt (Poznan University of Technology, Royal Holloway, University of London) |
| NE | Enhancing MAP-Elites with Multiple Parallel Evolution Strategies | Manon Flageat (Imperial College London), Bryan Lim (Imperial College London), Antoine Cully (Imperial College London) |
| ENUM | Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems | Marcin Michal Komarnicki (Wroclaw University of Science and Technology), Michal Witold Przewozniczek (Wroclaw University of Science and Technology), Renato Tinós (University of São Paulo), Xiaodong Li (RMIT University) |
| THEORY | Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions | Marcus Schmidbauer (University of Passau), Andre Opris (University of Passau), Jakob Bossek (University of Paderborn), Frank Neumann (University of Adelaide), Dirk Sudholt (University of Passau) |
| ECOM | Letting a Large Neighborhood Search for an Electric Dial-A-Ride Problem Fly: On-The-Fly Charging Station Insertion | Maria Bresich (Vienna University of Technology), Günther Raidl (Vienna University of Technology), Steffen Limmer (Honda Research Institute Europe GmbH) |
| GA | Understanding Search Trajectories in Parameter Tuning | María Inés Riveros (Universidad Técnica Federico Santa María), Nicolas Rojas-Morales (Universidad Técnica Federico Santa María), Elizabeth Montero (Universidad Técnica Federico Santa María), Gabriela Ochoa (University of Stirling) |
| GECH | Self-adaptive Co-Evolutionary Algorithms | Mario Alejandro Hevia Fajardo (University of Birmingham), Erik Hemberg (MIT), Jamal Toutouh (University of Malaga), Una-May O'Reilly (MIT), Per Kristian Lehre (University of Birmingham) |
| THEORY | A Flexible Evolutionary Algorithm with Dynamic Mutation Rate Archive | Martin S. Krejca (Ecole Polytechnique, Institut Polytechnique de Paris), Carsten Witt (Technical University Of Denmark) |
| RWA | Exploring the Prompt Space of Large Language Models through Evolutionary Sampling | Martina Saletta (University of Bergamo), Claudio Ferretti (University Milano-Bicocca) |
| RWA | Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach | Mathew Keith Falloon (Victoria University of Wellington), Hui Ma (Victoria University of Wellington), Aaron Chen (Victoria University of Wellington) |
| RWA | Multi-Objective Optimization for Large-scale Allocation of Soybean Crops | Mathilde Chen (UMR 518 MIA-PS, INRAE, Université Paris-Saclay), David Makowski (UMR 518 MIA-PS, INRAE, Université Paris-Saclay), Alberto Tonda (UMR 518 MIA-PS, INRAE, Université Paris-Saclay) |
| SI | Markov Chain-based Optimization Time Analysis of Bivalent Ant Colony Optimization for Sorting and LeadingOnes | Matthias Kergaßner (University of Erlangen-Nuremberg), Oliver Keszocze (University of Erlangen-Nuremberg), Rolf Wanka (University of Erlangen-Nuremberg) |
| SI | The Electric Vehicle Problem with Road Junctions and Road Types: An Ant Colony Optimization Approach | MEHMET ANIL AKBAY (Artificial Intelligence Research Institute (IIIA) - Spanish National Research Council (CSIC).), CHRISTIAN BLUM (Artificial Intelligence Research Institute (IIIA) - Spanish National Research Council (CSIC).), MICHELLA SALIBA (AUTONOMUS UNIVERSITY OF BARCELONA) |
| SBSE | Search-based Crash Reproduction for Android Apps | Michael Auer (University of Passau), Dominik Diner (msg systems AG), Gordon Fraser (University of Passau) |
| EML | Nature-inspired preference learning algorithms using the Choquet integral | Michał Wójcik (Poznan University of Technology), Miłosz Kadziński (Poznan University of Technology) |
| EMO | Empirical Comparison between MOEAs and Local Search on Multi-Objective Combinatorial Optimisation Problems | Miqing Li (The University of Birmingham), Xiaofeng Han (Harbin Institute of Technology), Xiaochen Chu (Harbin Institute of Technology), Zimin Liang (The University of Birmingham) |
| NE | LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization | Muhammad Umair Nasir (University of the Witwatersrand, New York University), Sam Earle (New York University), Julian Togelius (New York University), Steven James (University of the Witwatersrand), Christopher Cleghorn (University of the Witwatersrand, Amazon.com Inc.) |
| RWA | A Systematic Exploration of Evolutionary Computation for the Design of Hardware-oriented Non-cryptographic Hash Functions | Mujtaba Hassan (KU Leuven), Jo Vliegen (KU Leuven), Stjepan Picek (Radboud University), Nele Mentens (KU Leuven) |
| EMO | Tasks Scheduling with Load Balancing in Fog Computing: a Bi-level Multi-Objective Optimization Approach | Najwa Kouka (Università degli Studi di Milano Dipartimento di Informatica), Pierangela Samarati (Università degli Studi di Milano Dipartimento di Informatica), Vincenzo Piuri (Università degli Studi di Milano Dipartimento di Informatica) |
| EML | Multi-objective evolutionary GAN for tabular data synthesis | Nian Ran (University of Manchester), Bahrul Ilmi Nasution (University of Manchester), Claire Little (University of Manchester), Richard Allmendinger (University of Manchester), Mark Elliot (University of Manchester) |
| THEORY | A Runtime Analysis of Bias-invariant Neuroevolution and Dynamic Fitness Evaluation | Paul Fischer (Technical University of Denmark), John Alasdair Warwicker (Karlsruhe Institute of Technology), Carsten Witt (Technical University of Denmark) |
| CS | Quality with Just Enough Diversity in Evolutionary Policy Search | Paul Templier (University of Toulouse, ISAE-SUPAERO), Luca Grillotti (Imperial College London), Emmanuel Rachelson (University of Toulouse, ISAE-SUPAERO), Dennis George Wilson (University of Toulouse, ISAE-SUPAERO), Antoine Cully (Imperial College London) |
| EML | Semantically Rich Local Dataset Generation for Explainable AI in Genomics | Pedro Barbosa (LASIGE, Faculdade de Ciências da Universidade de Lisboa, Instituto de Medicina Molecular João Lobo Antunes), Rosina Savisaar (Mondego Science), Alcides Fonseca (LASIGE, Department of Informatics; Faculty of Sciences, University of Lisbon) |
| RWA | Genetic Programming Empowered Feature Construction towards Energy Efficient BVI Wearables | Peijie Xu (RMIT University), Andy Song (RMIT University), Ke Wang (RMIT University) |
| EML | Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams | Pivithuru Thejan Amarasinghe (La Trobe University), Diem Pham (La Trobe University, Can Tho University), Binh Tran (La Trobe University), Su Nguyen (RMIT University), Yuan Sun (La Trobe University), Damminda Alahakoon (La Trobe University) |
| ECOM | Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search | Quan Minh Phan (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)) |
| L4EC | Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples | Quentin Renau (Edinburgh Napier University), Emma Hart (Edinburgh Napier University) |
| RWA | Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach | Qurrat Ul Ain (Victoria University of Wellington), Harith Al-Sahaf (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) |
| RWA | Genetic Algorithm Selection of Interacting Features (GASIF) for Selecting Biological Gene-Gene Interactions | Rachit Kumar (University of Pennsylvania), David Zhang (University of Pennsylvania), Marylyn Ritchie (University of Pennsylvania) |
| BBSR | CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming | Roman Kalkreuth (Sorbonne University), Thomas Baeck (Leiden University) |
| EMO | Evolutionary Preference Sampling for Pareto Set Learning | Rongguang Ye (Southern University of Science and Technology), Longcan Chen (Southern University of Science and Technology), Jinyuan Zhang (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology) |
| ENUM | Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization | Ryoji Tanabe (Yokohama National University) |
| ENUM | CatCMA : Stochastic Optimization for Mixed-Category Problems | Ryoki Hamano (Yokohama National University), Shota Saito (Yokohama National University, SKILLUP NeXt Ltd.), Masahiro Nomura (CyberAgent, Inc.), Kento Uchida (Yokohama National University), Shinichi Shirakawa (Yokohama National University) |
| L4EC | Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem | Saba Sadeghi Ahouei (The University of Adelaide), Jacob de Nobel (Leiden University), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide), Thomas Bäck (Leiden University) |
| CS | Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks | Sarah L. Thomson (Edinburgh Napier University), Léni K. Le Goff (Edinburgh Napier University), Emma Hart (Edinburgh Napier University), Edgar Buchanan (University of York) |
| RWA | Using Genetic Algorithms for Privacy-Preserving Optimization of Multi-Objective Assignment Problems in Time-Critical Settings: An Application in Air Traffic Flow Management | Sebastian Gruber (Johannes Kepler University Linz), Paul Feichtenschlager (Johannes Kepler University Linz, Frequentis AG), Christoph Georg Schuetz (Johannes Kepler University Linz) |
| EMO | On the robustness of lexicase selection to contradictory objectives | Shakiba Shahbandegan (Michigan State University), Emily Dolson (Michigan State University) |
| RWA | Evolutionary Diversity Optimisation for Sparse Directed Communication Networks | Sharlotte Gounder (The University of Adelaide), Frank Neumann (The University of Adelaide), Aneta Neumann (The University of Adelaide) |
| EMO | Approximating Pareto Local Optimal Solution Networks | Shoichiro Tanaka (The University of Electro-Communications), Gabriela Ochoa (University of Stirling), Arnaud Liefooghe (Université du Littoral Côte d'Opale), Keiki Takadama (The University of Electro-Communications), Hiroyuki Sato (The University of Electro-Communications) |
| EML | Transfer Learning of Surrogate Models via Domain Affine Transformation | Shuaiqun Pan (Leiden University), Diederick Vermetten (Leiden University), Thomas Bäck (Leiden University), Manuel López-Ibáñez (University of Manchester), Hao Wang (Leiden University) |
| GECH | Late Bloomers, First Glances, Second Chances: Exploration of the Mechanisms Behind Fitness Diversity | Sofya Aksenyuk (Poznan University of Technology), Szymon Bujowski (Poznan University of Technology), Maciej Komosinski (Poznan University of Technology), Konrad Miazga (Poznan University of Technology) |
| GP | Large Language Model-based Test Case Generation for GP Agents | Steven Jorgensen (MIT), Giorgia Nadizar (University of Trieste), Gloria Pietropolli (University of Trieste), Luca Manzoni (University of Trieste), Eric Medvet (University of Trieste), Una-May O'Reilly (MIT), Erik Hemberg (MIT) |
| GP | Genetic-based Constraint Programming for Resource Constrained Job Scheduling | Su Nguyen (RMIT University), Dhananjay Thiruvady (Deakin University), Yuan Sun (La Trobe University), Mengjie Zhang (Victoria University of Wellington) |
| CS | Learning from Evolution: Improving Collective Decision-Making Mechanisms using Insights from Evolutionary Robotics | Tanja Katharina Kaiser (University of Technology Nuremberg) |
| L4EC | Accelerate Evolution Strategy by Proximal Policy Optimization | Tao Xu (Zhejiang Lab), Hongyang Chen Chen (Zhejiang Lab), Jun He (Nottingham Trent University) |
| BBSR | On the Investigation of Multimodal Evolutionary Algorithms Using Search Trajectory Networks | Thai Bao Tran (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)) |
| GP | Improving the efficiency of GP-GOMEA for higher-arity operators | Thalea Schlender (Leiden University Medical Center), Mafalda Malafaya (Centrum Wiskunde & Informatica (CWI), Delft University of Technology), Tanja Alderliesten (Leiden University Medical Center), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| NE | THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search | Thanh Hai Tran (Hanoi University of Science and Technology), Long Doan (George Mason University), Ngoc Hoang Luong (University of Information Technology (UIT), VNU-HCM, Vietnam National University - Ho Chi Minh City (VNU-HCM)), Binh Huynh Thi Thanh (Hanoi University of Science and Technology) |
| ECOM | The Chance Constrained Travelling Thief Problem: Problem Formulations and Algorithms | Thilina Chathuranga Pathirage Don (Univerisity of Adelaide), Aneta Neumann (Univerisity of Adelaide), Frank Neumann (Univerisity of Adelaide) |
| GP | Facilitating Function Application in Code Building Genetic Programming | Thomas Helmuth (Hamilton College), Jayden Fedoroff (Hamilton College), Edward R. Pantridge (Real Chemistry), Lee Spector (Amherst College, University of Massachusetts Amherst) |
| CS | Parametric-Task MAP-Elites | Timothée Anne (Inria / CNRS / University Lorraine), Jean-Baptiste Mouret (Inria / CNRS / University Lorraine) |
| SI | A Self-adaptive Rotationally Invariant Particle Swarm Optimization for Global Optimization | Ting Dong (Tsinghua University), Haoxin Wang (Tsinghua University), Wenbo Ding (Tsinghua University), Libao Shi (Shenzhen International Graduate School, Tsinghua University) |
| RWA | Mixed-Variable Correlation-Aware Metaheuristic for Deployment Optimization of 3-D Sensor Networks | Tongyu Wu (Beijing Intitute of Technology), Yuntian Zhang (Beijing Institute of Technology), Changhao Miao (Beijing Institute of Technology), Chen Chen (Beijing Institute of Technology), Shuxin Ding (China Academy of Railway Sciences Corporation Limited) |
| RWA | On the Performance of User Association in Space-Ground Communications with Integer-Coded Genetic Algorithms | Trinh Van Chien (Hanoi University of Science and Technology), Thu Tran Anh Ngo (Hanoi University of Science and Technology), Lam Hoang Nguyen (Hanoi University of Science and Technology), Nguyen Thi My Binh (Hanoi University of Industry), Huynh Thi Thanh Binh (Hanoi University of Science and Technology) |
| ECOM | Optimization through Iterative Smooth Morphological Transformations | Valentino Santucci (University for Foreigners of Perugia), Marco Baioletti (University of Perugia), Marco Tomassini (University of Lausanne) |
| RWA | Optimizing a Car Patrolling Application by Iterated Local Search | Victor Hugo Vidigal Correa (Federal University of Viçosa, University of Modena and Reggio Emilia), Thiago Alves de Queiroz (Federal University of Catalão), Manuel Iori (University of Modena and Reggio Emilia), André Gustavo dos Santos (Federal University of Viçosa), Mutsunory Yagiura (University of Nagoya), Giorgio Zucchi (Coopservice scpa) |
| CS | Integrating Diverse Evolutionary Patterns of Collective Animal Behaviours into a Unified Selfish Herd Model | Wen-Chi Yang (Bocom Holding Group) |
| GP | On the Nature of the Phenotype in Tree Genetic Programming | Wolfgang Banzhaf (Michigan State University), Illya Bakurov (Michigan State University) |
| RWA | An Order-aware Adaptive Iterative Local Search Metaheuristic for Multi-depot UAV Pickup and Delivery Problem | Xiang-Ling Chen (South China University of Technology), Xiao-Cheng Liao (Victoria University of Wellington), Feng-Feng Wei (South China University of Technology), Wei-Neng Chen (South China University of Technology) |
| EMO | Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems | Xiankun Yan (The University of Adelaide), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide) |
| GP | Learning Traffic Signal Control via Genetic Programming | Xiao-Cheng Liao (Victoria University Wellington), Yi Mei (Victoria University Wellington), Mengjie Zhang (Victoria University Wellington) |
| SI | Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection | Xin-Yu Wang (South China University of Technology), Qi-Te Yang (South China University of Technology), Zhi-Hui Zhan (Nankai University), Jibin Wu (The Hong Kong Polytechnic University), Kay Chen Tan (The Hong Kong Polytechnic University), Jun Zhang (Nankai University) |
| EMO | Transfer Search Directions Among Decomposed Subtasks for Evolutionary Multitasking in Multiobjective Optimization | Yanchi Li (China University of Geosciences), Wenyin Gong (China University of Geosciences), Qiong Gu (Hubei University of Arts and Science) |
| EMO | Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms | Yang Nan (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology), Tianye Shu (Southern University of Science and Technology), Ke Shang (Southern University of Science and Technology) |
| EMO | Gradient-Guided Local Search for IGD/IGDPlus Subset Selection | Yang Nan (Southern University of Science and Technology), Hisao Ishibuchi (Southern University of Science and Technology), Tianye Shu (Southern University of Science and Technology), Ke Shang (Southern University of Science and Technology) |
| EML | A Phenotypic Learning Classifier System for Problems with Continuous Features | Yi Liu (Zhejiang Lab), Yu Cui (Zhejiang Lab), Wen Cheng (Zhejiang Lab), Will Neil Browne (Queensland University of Technology), Bing Xue (Victoria University of Wellington), Chengyuan Zhu (Hainan Normal University), Yiding Zhang (Victoria University of Wellington), mingkai sheng (Zhejiang lab), lingfang zeng (Zhejiang lab) |
| RWA | Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy | Yingfang Yuan (Heriot-Watt University), Wenjun Wang (Jinan Universtiy), Xin Li (Beijing Institute of Technology), Kefan Chen (Heriot-Watt University), Yonghan Zhang (Heriot-Watt University), Wei Pang (Heriot-Watt University) |
| SI | Adaptive Aggregative Multitask Competitive Swarm Optimization with Bi-Directional Asymmetric Flip Strategy for High-Dimensional Feature Selection | Yong Zhang (South China University of Technology), Ke-Jing Du (Victoria University), Yi Jiang (South China University of Technology), Jibin Wu (The Hong Kong Polytechnic University), Kay Chen Tan (The Hong Kong Polytechnic University), Hua Wang (Victoria University), Zhi-Hui Zhan (Nankai University) |
| GA | Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing | Yong-Feng Ge (Victoria University), Hua Wang (Victoria University), Jinli Cao (La Trobe University), Yanchun Zhang (Victoria University), Georgios Kambourakis (University of the Aegean) |
| BBSR | SDDObench: A Benchmark for Streaming Data-Driven Optimization with Concept Drift | Yuanting Zhong (South China University of Technology), Xincan Wang (South China University of Technology), Yuhong Sun (South China University of Technology), Yue-Jiao Gong (South China University of Technology) |
| GA | Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems | Yufan Kang (RMIT University), Rongsheng Zhang (RMIT University), Wei Shao (CSIRO), Flora D. Salim (The University of New South Wales), Jeffrey Chan (RMIT University) |
| EML | Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem | Zeqiong Lv (Sichuan University), Chao Bian (Nanjing University), Chao Qian (Nanjing University), Yanan Sun (Sichuan University) |
| SI | Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning | Zeyuan Ma (South China University of Technology), Jiacheng Chen (South China University of Technology), Hongshu Guo (South China University of Technology), Yining Ma (National University of Singapore), Yue-Jiao Gong (South China University of Technology) |
| EMO | GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA | Zhenyu Liang (Southern University of Science and Technology), Tao Jiang (Southern University of Science and Technology, Peng Cheng Laboratory), Kebin Sun (Southern University of Science and Technology), Ran Cheng (Southern University of Science and Technology) |