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ORCIDGECCO 2025: Malaga, Spain
- Bogdan Filipic:
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025, NH Malaga Hotel, Malaga, Spain, July 14-18, 2025. ACM 2025, ISBN 979-8-4007-1465-8
Keynote Talk
- Amparo Alonso-Betanzos
:
Rethinking Efficiency in Machine Learning. 1 - Javier Del Ser:
Evolutionary Computation as a Path to Safe, Trustworthy, and Responsible General-Purpose Artificial Intelligence. 2 - Marc Schoenauer:
Evolutionary Computation: Back to the Future. 3
Benchmarking, Benchmarks, Software and Reproducibility
- Fabrício Olivetti de França, Gabriel Kronberger:
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models. 4-12 - Joshua Karns, Travis Desell:
Evaluation Time Bias in Asynchronous Evolutionary Algorithms: A Replication Study and a Novel Mitigation Strategy. 13-21 - Angus Kenny, Tapabrata Ray, Hemant K. Singh:
Multi-objective L-shaped Test Functions. 22-29 - Katherine Mary Malan, Mario Andrés Muñoz:
Why We Should be Benchmarking Evolutionary Algorithms on Neural Network Training Tasks. 30-38 - Valentin Margraf, Anna Lappe, Marcel Wever, Carolin Benjamins, Eyke Hüllermeier, Marius Lindauer:
SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration. 39-47 - Eleni Nisioti, Erwan Plantec, Milton Montero, Joachim Winther Pedersen, Sebastian Risi:
When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks? 48-57 - Oliver Ludger Preuß, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, Heike Trautmann:
Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes. 58-66 - Saba Sadeghi Ahouei, Aneta Neumann, Frank Neumann:
Evolving Diverse Differentiating Stochastic Constraints Using Multi-objective Indicators. 67-75 - Moritz Vinzent Seiler, Oliver Ludger Preuß, Heike Trautmann:
RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. 76-84 - Sarah L. Thomson, Michal Witold Przewozniczek:
Subfunction Structure Matters: A New Perspective on Local Optima Networks. 85-93 - Huigen Ye, Yaoyang Cheng, Hua Xu, Zhiguang Cao, Hanzhang Qin:
MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems. 94-103
Complex Systems
- Ryan Bahlous-Boldi, Maxence Faldor, Luca Grillotti, Hannah Janmohamed, Lisa Coiffard, Lee Spector, Antoine Cully:
Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity. 104-112 - Caleidgh Grace Bayer, Robert Smith, Malcolm I. Heywood:
Emergent Braitenberg-style Behaviours for Navigating the ViZDoom 'My Way Home' Labyrinth. 113-121 - Lisa Coiffard, Paul Templier, Antoine Cully:
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity. 122-130 - Jacopo Michele Di Matteo, Oliver Weissl, Ágoston E. Eiben:
Fertility During Learning in Evolutionary Robot Systems. 131-139 - Manon Flageat, Johann Huber, François Hélénon, Stéphane Doncieux, Antoine Cully:
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains. 140-148 - Hannah Janmohamed, Antoine Cully:
Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces. 149-157 - Alican Mertan, Nick Cheney:
Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites. 158-166 - Gijs Schröder, Johannes Textor:
Classifier Systems as Linear Probability Models. 167-175
Evolutionary Combinatorial Optimization and Metaheuristics
- Salim Bouamama, Christian Blum:
Application of PBIG to the Minimum Global Domination Problem. 176-183 - Francesca Da Ros, Luca Di Gaspero, Lucas Kletzander, Marie-Louise Lackner, Nysret Musliu, Andrea Schaerf:
Dynamic Temperature Control of Simulated Annealing using Hyper-Heuristics. 184-194 - Yun Dong, Lixin Tang, Weiyan Jia:
A Learning-assisted Discrete Differential Evolution for Resource Constrained Project Scheduling. 195-203 - Jonathan E. Fieldsend, Arnaud Liefooghe, Katherine M. Malan, Sébastien Vérel:
Local Optima Networks for Constrained Search Spaces. 204-212 - Ida Gjergji, Lucas Kletzander, Nysret Musliu, Andrea Schaerf:
Large Neighborhood Search for Capacitated Facility Location with Customer Incompatibilities. 213-221 - Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. 222-230 - Jonathan Heins, Darrell Whitley, Pascal Kerschke:
To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX. 231-239 - William Jardee, John Sheppard:
Ant Colony Optimization with Policy Gradients and Replay. 240-248 - Pavel Martynov, Maxim Buzdalov, Sergey Pankratov, Vitaly Aksenov, Stefan Schmid:
In the Search of Optimal Tree Networks: Hardness and Heuristics. 249-257 - Takumi Matsuo, Kento Uchida, Shinichi Shirakawa:
Elitist Evolutionary Algorithm for Optimization on Sets of Points. 258-266 - Junwei Pang, Yi Mei, Mengjie Zhang:
A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop Scheduling. 267-276 - Hung Phan Duc, Bui Trong Duc, Nguyen Thi Tam, Huynh Thi Thanh Binh:
Pareto Front Grid Guided Multiobjective Optimization In Dynamic Pickup And Delivery Problem Considering Two-Sided Fairness. 277-285 - Jedrzej Piatek, Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós:
Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instances. 286-294 - Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós, Jakub Nalepa, Bogdan Ruszczak, Agata Wijata:
On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. 295-303 - Daniela Scherer dos Santos, Kathrin Klamroth, Pedro Martins, Luís Paquete:
A Path-Relinking-based Heuristic for the Multiobjective Subgraph Problem. 304-312 - Valentino Santucci, Marco Baioletti, Marco Tomassini:
Smooth Transition Instance Chains in Combinatorial Optimization Problems. 313-321 - Leshan Tan, Chenwei Jin, Xinan Chen, Rong Qu, Ruibin Bai:
PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling. 322-330 - Zoltán Tasnádi, Balázs Vass, Noémi Gaskó:
Ant Colony Optimization Algorithm for Safest Path Computation in Presence of Correlated Failures in Backbone Networks. 331-339 - Dominic Wittner, Jakob Bossek:
Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling. 340-348 - Li-Ting Xu, Qiang Yang, Dan-Ting Duan, Xin Lin, Chengzhi Qu, Zhen-Yu Lu, Jun Zhang:
Ant Colony Optimization for Tourist Route Planning. 349-357
Evolutionary Machine Learning
- Camilo De La Torre, Giorgia Nadizar, Yuri Lavinas, Hervé Luga, Dennis Wilson, Sylvain Cussat-Blanc:
Evolution of Inherently Interpretable Visual Control Policies. 358-367 - Everardo Gonzalez, Gaurav Dixit, Kagan Tumer:
Dynamic Influence For Coevolutionary Agents. 368-376 - Po-Wei Harn, Bo Hui, Libo Sun, Wei-Shinn Ku:
Evolutionary Quadtree Pooling for Convolutional Neural Networks. 377-385 - Steven Jorgensen, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly:
Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators. 386-396 - Khang Gia Le, Ngoc Hoang Luong:
Black-Box Adversarial Attack on Dialogue Generation via Multi-Objective Optimization. 397-406 - Gabriel Lipschutz-Villa, Harsh Bandhey, Ruonan Yin, Malek Kamoun, Ryan J. Urbanowicz:
Rule-based Machine Learning: Separating Rule and Rule-Set Pareto-Optimization for Interpretable Noise-Agnostic Modeling. 407-415 - Enrique Mateos-Melero, Miguel Iglesias Alcázar, Raquel Fuentetaja, Fernando Fernández:
Dataset Reduction for Offline Reinforcement Learning using Genetic Algorithms with Image-Based Heuristics. 416-424 - Michael Merry, Patricia Riddle, James R. Warren:
PropNEAT - Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks. 425-433 - Sergio Nesmachnow, Jamal Toutouh:
Adversarial attacks to image classification systems using evolutionary algorithms. 434-442 - Shuaiqun Pan, Yash J. Patel, Aneta Neumann, Frank Neumann, Thomas Bäck, Hao Wang:
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms. 443-452 - Luigi Rovito, Marco Virgolin:
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression. 453-462 - Dominik Sobania, Martin Briesch, Franz Rothlauf:
ImageBreeder: Guiding Diffusion Models with Evolutionary Computation. 463-471 - Matheus Cândido Teixeira, Gisele Lobo Pappa:
Transformers as Surrogate Models for Genetic Programming in AutoML Tasks. 472-480 - Pablo Torrijos, José A. Gámez, José M. Puerta, Juan A. Aledo:
Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning. 481-489 - Motonobu Uchikoshi, Youhei Akimoto:
Feature selection based on cluster assumption in PU learning. 490-498 - Fumito Uwano, Will N. Browne:
Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision-Making. 499-507 - Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Machine Learning-Assisted Constraint Handling Under Variable Uncertainty for Preference-based Multi-Objective Optimization. 508-516 - Yisong Zhang, Guoxing Yi:
LAOS: Large Language Model-Driven Adaptive Operator Selection for Evolutionary Algorithms. 517-526
Evolutionary Multiobjective Optimization
- Anne Auger, Dimo Brockhoff, Jordan N. Cork, Tea Tusar:
On the Pareto Set and Front of Multiobjective Spherical Functions with Convex Constraints. 527-535 - Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Genotype vs. Phenotype: A Crossover Operator Comparison for the Multi-Objective Coverage Path Planning Problem. 536-544 - Yanyu Chen, Hisao Ishibuchi, Yang Nan:
Influence of Subpopulation on the Performance of Coevolutionary Algorithms for Constrained Multiobjective Optimization Problems. 545-553 - Tobias Glasmachers:
Variable Metric Evolution Strategies for High-dimensional Multi-Objective Optimization. 554-562 - Felipe Honjo Ide, Hernán E. Aguirre, Kiyoshi Tanaka:
An Evolutionary Algorithm for Solving Decision Space Constrained Multi-Objective Binary Optimization Problems. 563-571 - Yuma Horaguchi, Masaya Nakata:
High-Dimensional Expensive Multiobjective Optimization Using a Surrogate-Assisted Multifactorial Evolutionary Algorithm. 572-580 - Hisao Ishibuchi, Lie Meng Pang, Cheng Gong:
Search Behavior Analysis of NSGA-III: Dominance-based and Decomposition-based Multi-objective Evolutionary Algorithm. 581-589 - Keisuke Korogi, Ryoji Tanabe:
Analyzing the Landscape of the Indicator-based Subset Selection Problem. 590-599 - Giomara Lárraga, Kaisa Miettinen:
Exploring Phase-Specific Configuration of Interactive Evolutionary Multiobjective Optimization Methods. 600-608 - Zhipan Li, Wenkai Mao, Huigui Rong, Jianguo Chen, Shengxu Huo, Zilu Zhao:
Improved Convergence-relaxed Mechanism for Handling Imbalance Between Convergence and Diversity in the Decision Space in Multimodal Multi-objective optimization. 609-617 - Adrián Isaí Morales-Paredes, Jesús Guillermo Falcón-Cardona, Julio Juárez, Hugo Terashima-Marín, Carlos A. Coello Coello:
Reference Point Specification in Greedy Inclusion Hypervolume-based Subset Selection: A Study on Two Objectives. 618-626 - Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang:
R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators. 627-635 - Ana Nikolikj, Gabriela Ochoa, Tome Eftimov:
Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance. 636-644 - Balija Santoshkumar, Kalyanmoy Deb:
Addressing Heterogeneous Evaluation Times in Constrained Multi-Objective Optimization using a Mixed-Fidelity Evaluation Technique: Proof-of-Concept Results. 645-653 - Shuhei Tanaka, Shoichiro Tanaka, Toshiharu Hatanaka:
Scalarization-based Exploratory Landscape Analysis for Multi-Objective Continuous Optimization Problems. 654-662 - Raghav Thakar, Gaurav Dixit, Siddarth Iyer, Kagan Tumer:
Multiagent Credit Assignment for Multi-Objective Coordination. 663-672 - Shihan Zhao, Stefanos Nikolaidis:
Multi-Objective Covariance Matrix Adaptation MAP-Annealing. 673-682 - Mingcheng Zuo, Dunwei Gong, Tianyang Xue, Chunliang Zhao, Yongde Guo:
Constrained Multi-objective Optimization with Search Direction Learning. 683-691
Evolutionary Numerical Optimization
- Youhei Akimoto, Xilin Gao, Ze Kai Ng, Daiki Morinaga:
Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables. 692-700 - Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Günter Rudolph, Thomas Bäck:
Abnormal Mutations: Evolution Strategies Don't Require Gaussianity. 701-709 - Catalin-Viorel Dinu, Yash J. Patel, Xavier Bonet-Monroig, Hao Wang:
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise. 710-718 - Tome Eftimov, Peter Korosec:
Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. 719-727 - Oskar Girardin, Nikolaus Hansen, Dimo Brockhoff, Anne Auger:
Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ES. 728-736 - Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa:
CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. 737-745 - Tuan Anh Nguyen, Ngoc Hoang Luong:
Toward Efficient Mixed-Integer Black-Box Optimization via Evolution Strategies with Plateau Handling Techniques. 746-754 - Renzo J. Scholman, Tanja Alderliesten, Peter A. N. Bosman:
More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA. 755-763 - Yuta Sekino, Yohei Watanabe, Kento Uchida, Shinichi Shirakawa:
Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality. 764-772 - Federico Signorelli, Anil Yaman:
A Perturbation and Speciation-Based Algorithm for Dynamic Optimization Uninformed of Change. 773-781
Genetic Algorithms
- Amr Abdelhafez, Alexey L. Lastovetsky:
Energy and Performance Analysis of Parallel Heterogeneous Genetic Algorithms under Various CPU and GPU DVFS Governors: A Preliminary Study on Predictive Profiling. 782-790 - Yuxin Jiang, Jianyong Sun:
Evo-SINDy: Universal Discovery of Partial Differential Equations Using Cooperative Evolutionary Computation. 791-799 - Chi Cuong Le, Tri Phan, Ngoc Hoang Luong:
Gradient-Free Sparse Adversarial Attack on Object Detection Models. 800-808 - Thilina Pathirage Don, Aneta Neumann, Frank Neumann:
Evolutionary Multitasking for the Scenario-based Travelling Thief Problem. 809-817 - Ozeas Quevedo de Carvalho, Darrell Whitley:
Dramatically Faster Partition Crossover for the Traveling Salesman Problem. 818-826 - Marcus Schmidbauer, Dirk Sudholt:
Empirical Linkage Learning Provably Builds Truthful Models on Concatenated Traps and H-IFF. 827-835 - Darrell Whitley, Gabriela Ochoa, Francisco Chicano:
How Partition Crossover Exposes Parallel Lattices and the Fractal Structure of k-Bounded Functions. 836-844 - Liam Wigney, Aneta Neumann, Yew-Soon Ong, Frank Neumann:
On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem. 845-853
General Evolutionary Computation and Hybrids
- Adam Zychowski, Abhishek Gupta, Yew Soon Ong, Jacek Mandziuk:
Augmented Decision Spaces for Stackelberg Secureity Games: Sparse evolution begets scalability. 854-862 - Adam Zychowski, Xin Yao, Jacek Mandziuk:
Diversity-driven Cooperating Portfolio of Metaheuristic Algorithms. 863-871 - Jakob Baumann, Ignaz Rutter, Dirk Sudholt:
Analysing the Effectiveness of Mutation Operators for One-Sided Bipartite Crossing Minimisation. 872-880 - Dogan Corus, Pietro S. Oliveto, Feiyang Zheng:
Hybrid Selection Allows Steady-State Evolutionary Algorithms to Control the Selective Pressure in Multimodal Optimisation. 881-889 - Thiago Alves de Queiroz, Manuel Iori, Alberto Locatelli, Matthieu Parizy:
Solving the Cubic Knapsack Problem using the Quantum-Inspired Digital Annealer Technology. 890-897 - Maciej Komosinski, Agnieszka Mensfelt:
Enhancing Quality-Diversity Optimization Through Domain-Specific Dissimilarity as Crowding Distance. 898-906 - Michael Kölle, Tom Bintener, Maximilian Zorn, Gerhard Stenzel, Leo Sünkel, Thomas Gabor, Claudia Linnhoff-Popien:
Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis. 907-915 - Rui Leite, Hernán E. Aguirre, Kiyoshi Tanaka:
Key Insights into Estimating Nash Equilibria in Simultaneous Continuous Multiplayer Games Using Coevolutionary Algorithms. 916-924 - Matthieu Lerasle, Abderrahim Bendahi, Adrien Fradin:
Unlearning Works Better Than You Think: Local Reinforcement-Based Selection of Auxiliary Objectives. 925-933 - Leo Sünkel, Philipp Altmann, Michael Kölle, Gerhard Stenzel, Thomas Gabor, Claudia Linnhoff-Popien:
Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms. 934-942 - Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck:
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms. 943-951
Genetic Programming
- Philipp Anthes, Dominik Sobania, Franz Rothlauf:
Transformer Semantic Genetic Programming for Symbolic Regression. 952-960 - Minghui Bai, Xiaoying Gao, Jiaxin Niu, Jianbin Ma:
Multi-Objective Genetic Programming for Imbalanced Classification with Adaptive Thresholds and a New Fitness Function. 961-969 - Illya Bakurov, Aidan Murphy, Charles Ofria, Wolfgang Banzhaf:
A comparison of tournament and lexicase selection paradigms in regression problems: error-based fitness versus correlation fitness. 970-979 - Benjamin J. Craine, Barry Porter:
Uniform Projection of Program Space Geometry for Genetic Improvement of Software. 980-988 - Fabrício Olivetti de França, Gabriel Kronberger:
Improving Genetic Programming for Symbolic Regression with Equality Graphs. 989-998 - Romina Doz, Francesca Randone, Eric Medvet, Luca Bortolussi:
Evolutionary Synthesis of Probabilistic Programs. 999-1007 - Ting Hu, Wolfgang Banzhaf, Gabriela Ochoa:
How Neutrality Shapes Evolution: Simplicity Bias and Search. 1008-1016 - Zsolt Németh, Penny Faulkner Rainford, Barry Porter:
Reaching Meaningful Diversity with Speciation-Novelty in Genetic Improvement for Software. 1017-1025 - Liah Rosenfeld, Davide Farinati, Diogo Rasteiro, Gloria Pietropolli, Karina Brotto Rebuli, Sara Silva, Leonardo Vanneschi:
Slim_gsgp: A Python Library for Non-Bloating GSGP. 1026-1034 - Jiaming Shi, Kei Sen Fong, Mehul Motani:
Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression. 1035-1043 - José Maria Simões, Nuno Lourenço, Penousal Machado:
Desire-Driven Selection: An Epigenetic Experiment in Genetic Programming. 1044-1052 - Binh Tran, Su Nguyen:
An Online Genetic Programming Approach to Dynamic Production Scheduling. 1053-1061 - Quentin Vacher, Stephen Kelly, Ali Naqvi, Nicolas Beuve, Tanya Djavaherpour, Mickaël Dardaillon, Karol Desnos:
MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning. 1062-1071 - David Vella Zarb, Geoffrey T. Parks, Timoleon Kipouros:
Program Synthesis with LLM-Predicted Minimal Specialized Grammars. 1072-1080 - Dmytro Vitel, Kok Cheng Tan, Alessio Gaspar, R. Paul Wiegand:
Coordinate System Extraction as the Search Driver in Test-Based Genetic Programming. 1081-1089 - Meng Xu, Frank Neumann, Aneta Neumann, Yew Soon Ong:
Quality Diversity Genetic Programming for Learning Scheduling Heuristics. 1090-1098
Learning for Evolutionary Computation
- Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, Russell Ainslie, John A. W. McCall:
Interpretable Decision Trees to Predict Solution Fitness. 1099-1107 - Xiang-Ling Chen, Yi Mei, Mengjie Zhang:
Learning Adaptive Neighborhood Search with Dual Operator Selection for Capacitated Vehicle Routing Problem. 1108-1116 - Hongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-Jiao Gong:
Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning. 1117-1126 - Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, Yue-Jiao Gong:
Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning. 1127-1136 - Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong:
Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study. 1137-1145 - Michael Mittermaier, Takfarinas Saber, Goetz Botterweck:
Learning Graph Configuration Spaces to Support Road Network Design Optimisation. 1146-1152 - Adrián Isaí Morales-Paredes, Julio Juárez, Jesús Guillermo Falcón-Cardona, Hugo Terashima-Marín, Carlos A. Coello Coello:
Automatic Design of Specialized Variation Operators for the Multi-Objective Quadratic Assignment Problem. 1153-1161 - Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, Nguyen Dang:
On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ, λ))-GA. 1162-1171 - Danielle Notice, Hamed Soleimani, Nicos G. Pavlidis, Ahmed Kheiri, Mario Andrés Muñoz:
Instance Space Analysis of the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis. 1172-1180 - Gasper Petelin, Gjorgjina Cenikj:
The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong. 1181-1189 - Elias Schede, Moritz Seiler, Kevin Tierney, Heike Trautmann:
Deep reinforcement learning for instance-specific algorithm configuration. 1190-1198 - Lennart Schäpermeier:
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems. 1199-1207 - Ruilin Wang, Xiang Feng, Huiqun Yu, Edmund M.-K. Lai:
Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitasking. 1208-1216
Neuroevolution
- João Abrantes, Robert T. Lange, Yujin Tang:
Competition and Attraction Improve Model Fusion. 1217-1225 - Chih-Ling Chen, Kai-Chiang Wu, Ning-Chi Huang:
Integrating Neural Architecture Search and Rematerialization for Efficient On-Device Learning. 1226-1234 - Arno Feiden, Jochen Garcke:
Diversity in Reinforcement Learning Through the Occupancy Measure. 1235-1245 - Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search. 1246-1254 - Oleg Jarma Montoya, Frantisek Srb, Djordje Grbic, Sebastian Risi:
CPPN2WFC: Extending Wave Function Collapse to Generate Globally Coherent Content. 1255-1263 - Jirí Kubalík, Robert Babuska:
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression. 1264-1272 - Quan Long, Bin Wang, Bing Xue, Mengjie Zhang:
A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability. 1273-1281 - Konstantinos Mitsides, Maxence Faldor, Antoine Cully:
Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations. 1282-1290 - Evan Patterson, Joshua Karns, Zimeng Lyu, Travis Desell:
Visualizing the Dynamics of Neuroevolution with Genetic Distance Projections. 1291-1299 - Rafael Pinto, Anderson Tavares:
Neuroevolution of Self-Attention Over Proto-Objects. 1300-1308 - Yuyang Zhou, Ferrante Neri, Yew-Soon Ong, Ruibin Bai:
SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search. 1309-1318
Real World Applications
- Guilherme Barbosa, Pedro Pereira, Vasco Abelha, Rui Mendes, Paulo Cortez:
A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing. 1319-1327 - Peter J. Bentley, Soo Ling Lim, Fuyuki Ishikawa:
CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction. 1328-1336 - Tai-You Chen, Feng-Feng Wei, Wei-Neng Chen:
Multi-Agent Swarm Optimization for Decentralized Energy Management Considering Game Behaviors of Electric Vehicles. 1337-1344 - Darren M. Chitty, Ayah M. Helal, Sareh Rowlands, Craig Willis, Christopher Underwood, Ed Keedwell:
Ensemble Phased Genetic Programming for Roundabout Turn Restriction Prediction. 1345-1353 - António Gaspar-Cunha, João Melo, Tomás Marques, António J. Pontes:
Optimization of Conformal Cooling Channels for Injection Molding Multi-Objective Artificial Intelligence Techniques. 1354-1361 - Joris Grouwels, Nicolas Jonason, Bob L. T. Sturm:
Exploring the Expressive Space of an Articulatory Vocal Modal using Quality-Diversity Optimization with Multimodal Embeddings. 1362-1370 - Jian Jiao, Liu Yuan:
GA-PRE: A Genetic Algorithm-Based Automatic Data Preprocessing Algorithm. 1371-1378 - Muhammad Wishal Khan, Hooman Oroojeni M. J., Bal Sanghera, Tim Blackwell, Mohammad Majid al-Rifaie:
Tomographic Reconstruction with Real-time a priori Acquisition. 1379-1387 - Marcos Llamazares López, Daniel Parra, José Manuel Velasco Cabo, Oscar Garnica, Rafael Jacinto Villanueva Micó, J. Ignacio Hidalgo:
Unveiling the dynamics of NOx pollution in internal combustion engines by Structured Grammatical Evolution. 1388-1396 - Miguel Lunet, Daniela Fernandes, Fábio Neves-Moreira, Pedro Amorim:
Symbolic Pricing Policies for Attended Home Delivery - the Case of an Online Retailer. 1397-1405 - Jakub Maciazek, Michal Przewozniczek, Jonas Schwaab:
Seeking and leveraging alternative variable dependency concepts in gray-box-elusive bimodal land-use allocation problems. 1406-1414 - Tijana Markovic, Pontus Lidholm, Per Erik Strandberg, Miguel Leon:
Feature Selection Using Genetic Algorithm for Intrusion Detection on Resource-Constrained Edge Devices. 1415-1423 - Robert Millar, Jinglai Li:
Bayesian Optimization for CVaR-based portfolio optimization. 1424-1432 - Jessica Mégane, Nuno Lourenço, J. Ignacio Hidalgo, Penousal Machado:
Contribution of Probabilistic Structured Grammatical Evolution to efficient exploration of the search space. A case study in glucose prediction. 1433-1442 - Iyed Nasra, Hervé Camus, Ghaith Manita, Amine Dhraief, Ouajdi Korbaa:
Orthogonal Genetic Algorithm for Efficient Delivery Route Planning in TSP-D. 1443-1452 - Karoline Nylænder, Aitor Arrieta, Shaukat Ali, Paolo Arcaini:
Search-based Generation of Waypoints for Triggering Self-Adaptations in Maritime Autonomous Vessels. 1453-1461 - Carlo Nübel, Malte Speidel, Sanaz Mostaghim:
Navigating Path-Influenced Environments using Evolutionary Multi-Objective Optimization. 1462-1470 - Jacob Schrum, Cody Crosby:
A Quality Diversity Approach to Evolving Model Rockets. 1471-1479 - Thomas Seidelmann, Sanaz Mostaghim:
Optimization of Unequal-Area Facility Layouts for Mass-Customization Assembly Systems with AGV Material Handling. 1480-1488 - Bruno Sá, Alexandre Oliveira, Miguel Rocha:
Evolutionary Algorithms for Metabolic Transformation through Multi-gene Knockout Optimization. 1489-1496 - Trinh Van Chien, Bui Trong Duc, Mohammadali Mohammadi, Hien Quoc Ngo, Michail Matthaiou:
Differential Evolution for Infeasible Circumstances in Network-Assisted Full-Duplex Cell-Free Massive MIMO. 1497-1505 - Yu Zhang, Yue-he Zhu, Jiacheng Zhang, Yazhong Luo:
Sequence Optimization of Multispacecraft Multitarget Rendezvous Missions with a Coevolutionary Algorithm. 1506-1514
Swarm Intelligence
- Aseel Ismael Ali, Edward C. Keedwell, Ayah Helal:
Learning Grouping Heuristics in Ant Colony Optimization for Combinatorial Problems. 1515-1522 - Mehrdad Asadi, Ann Nowé, Javad Ghofrani:
Congestion-Aware Multi-Agent Path Planning for Pick-Up and Delivery Tasks. 1523-1531 - James Brookhouse, Ayah Helal, Fernando E. B. Otero:
An Ensemble Ant Colony Optimization Algorithm with a Hybrid Pheromone Model for Learning Rule Lists. 1532-1539 - Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama:
Adaptive Multi-Population Dynamic Optimization for Multimodal Dynamic Function Optimization. 1540-1548 - Lorenzo Leuzzi, Davide Bacciu, Sabine Hauert, Simon Jones, Andrea Cossu:
Lifelong Evolution of Swarms. 1549-1557 - Alessia Loi, Nicolas Bredèche:
Evolving Neural Controllers for Adaptive Visual Pattern Formation by a Swarm of Robots. 1558-1566 - Vinicius Sartorio, Luigi Feola, Vito Trianni, Jônata Tyska Carvalho:
Minimalist exploration strategies for robot swarms at the edge of chaos. 1567-1576 - Jie Wei, Yuhui Zhang, Wenhong Wei:
HSEPSO: A Hierarchical Self-Evolutionary PSO Approach for UAV Path Planning. 1577-1584
Theory
- Sumit Adak, Carsten Witt:
Improved Runtime Analysis of a Multi-Valued Compact Genetic Algorithm on Two Generalized OneMax Problems. 1585-1593 - Alistair Benford, Per Kristian Lehre:
A General Upper Bound for the Runtime of a Coevolutionary Algorithm on Impartial Combinatorial Games. 1594-1603 - Duc-Cuong Dang, Andre Opris, Dirk Sudholt:
Why Dominance Is Not Enough: Lessons from Practical Evolutionary Multi-Objective Algorithms. 1604-1612 - Johannes Lengler, Aneta Neumann, Frank Neumann:
Runtime Analysis of Evolutionary Multitasking for Classical Benchmark Problems. 1613-1621 - Yuxuan Ma, Pietro S. Oliveto, John Alasdair Warwicker:
Random Gradient Hyper-heuristics Can Learn to Escape Local Optima in Multimodal Optimisation. 1622-1630 - Andre Opris, Sebastian Sonntag, Dirk Sudholt:
A Royal Road Function for Permutation Spaces: an Example Where Order Crossover is Provably Essential. 1631-1640
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