Table of Contents

• Rethinking Efficiency in Machine LearningAmparo Alonso-Betanzos. 1 [doi]
• Evolutionary Computation as a Path to Safe, Trustworthy, and Responsible General-Purpose Artificial IntelligenceJavier Del Ser. 2 [doi]
• Evolutionary Computation: Back to the FutureMarc Schoenauer. 3 [doi]
• rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression ModelsFabrício Olivetti de França, Gabriel Kronberger. 4-12 [doi]
• Evaluation Time Bias in Asynchronous Evolutionary Algorithms: A Replication Study and a Novel Mitigation StrategyJoshua Karns, Travis Desell. 13-21 [doi]
• Multi-objective L-shaped Test FunctionsAngus Kenny, Tapabrata Ray, Hemant K. Singh. 22-29 [doi]
• Why We Should be Benchmarking Evolutionary Algorithms on Neural Network Training TasksKatherine Mary Malan, Mario Andrés Muñoz. 30-38 [doi]
• SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm ConfigurationValentin Margraf, Anna Lappe, Marcel Wever, Carolin Benjamins, Eyke Hüllermeier, Marius Lindauer. 39-47 [doi]
• When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?Eleni Nisioti, Erwan Plantec, Milton Montero, Joachim Winther Pedersen, Sebastian Risi. 48-57 [doi]
• Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-LandscapesOliver Ludger Preuß, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, Heike Trautmann. 58-66 [doi]
• Evolving Diverse Differentiating Stochastic Constraints Using Multi-objective IndicatorsSaba Sadeghi Ahouei, Aneta Neumann, Frank Neumann 0001. 67-75 [doi]
• RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input SpacesMoritz Vinzent Seiler, Oliver Ludger Preuß, Heike Trautmann. 76-84 [doi]
• Subfunction Structure Matters: A New Perspective on Local Optima NetworksSarah L. Thomson, Michal Witold Przewozniczek. 85-93 [doi]
• MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming ProblemsHuigen Ye, Yaoyang Cheng, Hua Xu 0003, Zhiguang Cao, Hanzhang Qin. 94-103 [doi]
• Dominated Novelty Search: Rethinking Local Competition in Quality-DiversityRyan Bahlous-Boldi, Maxence Faldor, Luca Grillotti, Hannah Janmohamed, Lisa Coiffard, Lee Spector, Antoine Cully. 104-112 [doi]
• Emergent Braitenberg-style Behaviours for Navigating the ViZDoom 'My Way Home' LabyrinthCaleidgh Grace Bayer, Robert Smith, Malcolm Heywood. 113-121 [doi]
• Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-DiversityLisa Coiffard, Paul Templier, Antoine Cully. 122-130 [doi]
• Fertility During Learning in Evolutionary Robot SystemsJacopo Michele Di Matteo, Oliver Weissl, Ágoston E. Eiben. 131-139 [doi]
• Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain DomainsManon Flageat, Johann Huber, François Hélénon, Stéphane Doncieux, Antoine Cully. 140-148 [doi]
• Multi-Objective Quality-Diversity in Unstructured and Unbounded SpacesHannah Janmohamed, Antoine Cully. 149-157 [doi]
• Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-ElitesAlican Mertan, Nick Cheney. 158-166 [doi]
• Classifier Systems as Linear Probability ModelsGijs Schröder, Johannes Textor. 167-175 [doi]
• Application of PBIG to the Minimum Global Domination ProblemSalim Bouamama, Christian Blum 0001. 176-183 [doi]
• Dynamic Temperature Control of Simulated Annealing using Hyper-HeuristicsFrancesca Da Ros, Luca Di Gaspero, Lucas Kletzander, Marie-Louise Lackner, Nysret Musliu, Andrea Schaerf. 184-194 [doi]
• A Learning-assisted Discrete Differential Evolution for Resource Constrained Project SchedulingYun Dong, Lixin Tang, Weiyan Jia. 195-203 [doi]
• Local Optima Networks for Constrained Search SpacesJonathan E. Fieldsend, Arnaud Liefooghe, Katherine M. Malan, Sébastien Vérel. 204-212 [doi]
• Large Neighborhood Search for Capacitated Facility Location with Customer IncompatibilitiesIda Gjergji, Lucas Kletzander, Nysret Musliu, Andrea Schaerf. 213-221 [doi]
• Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack ProblemsCheng Gong, Ping Guo 0007, Lie Meng Pang, Qingfu Zhang 0001, Hisao Ishibuchi. 222-230 [doi]
• To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAXJonathan Heins, Darrell Whitley, Pascal Kerschke. 231-239 [doi]
• Ant Colony Optimization with Policy Gradients and ReplayWilliam Jardee, John Sheppard 0001. 240-248 [doi]
• In the Search of Optimal Tree Networks: Hardness and HeuristicsPavel Martynov, Maxim Buzdalov 0001, Sergey Pankratov, Vitaly Aksenov, Stefan Schmid 0001. 249-257 [doi]
• Elitist Evolutionary Algorithm for Optimization on Sets of PointsTakumi Matsuo, Kento Uchida, Shinichi Shirakawa. 258-266 [doi]
• A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop SchedulingJunwei Pang, Yi Mei 0001, Mengjie Zhang 0001. 267-276 [doi]
• Pareto Front Grid Guided Multiobjective Optimization In Dynamic Pickup And Delivery Problem Considering Two-Sided FairnessHung Phan Duc, Bui Trong Duc, Nguyen Thi Tam, Huynh Thi Thanh Binh. 277-285 [doi]
• Moving between high-quality optima using multi-satisfiability characteristics in hard-to-solve Max3Sat instancesJedrzej Piatek, Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós. 286-294 [doi]
• On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient InfluenceMichal Witold Przewozniczek, Francisco Chicano, Renato Tinós, Jakub Nalepa, Bogdan Ruszczak, Agata Wijata. 295-303 [doi]
• A Path-Relinking-based Heuristic for the Multiobjective Subgraph ProblemDaniela Scherer dos Santos, Kathrin Klamroth, Pedro Martins 0002, Luís Paquete. 304-312 [doi]
• Smooth Transition Instance Chains in Combinatorial Optimization ProblemsValentino Santucci, Marco Baioletti, Marco Tomassini. 313-321 [doi]
• PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck SchedulingLeshan Tan, Chenwei Jin, Xinan Chen, Rong Qu, Ruibin Bai. 322-330 [doi]
• Ant Colony Optimization Algorithm for Safest Path Computation in Presence of Correlated Failures in Backbone NetworksZoltán Tasnádi, Balázs Vass, Noémi Gaskó. 331-339 [doi]
• Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine SchedulingDominic Wittner, Jakob Bossek. 340-348 [doi]
• Ant Colony Optimization for Tourist Route PlanningLi-Ting Xu, Qiang Yang 0008, Dan-Ting Duan, Xin Lin 0004, Cheng-Zhi Qu, Zhen-Yu Lu 0002, Jun Zhang 0003. 349-357 [doi]
• Evolution of Inherently Interpretable Visual Control PoliciesCamilo De La Torre, Giorgia Nadizar, Yuri Lavinas, Hervé Luga, Dennis Wilson, Sylvain Cussat-Blanc. 358-367 [doi]
• Dynamic Influence For Coevolutionary AgentsEverardo Gonzalez, Gaurav Dixit, Kagan Tumer. 368-376 [doi]
• Evolutionary Quadtree Pooling for Convolutional Neural NetworksPo-Wei Harn, Bo Hui 0001, Libo Sun, Wei-Shinn Ku. 377-385 [doi]
• Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning OperatorsSteven Jorgensen, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly. 386-396 [doi]
• Black-Box Adversarial Attack on Dialogue Generation via Multi-Objective OptimizationKhang Gia Le, Ngoc Hoang Luong. 397-406 [doi]
• Rule-based Machine Learning: Separating Rule and Rule-Set Pareto-Optimization for Interpretable Noise-Agnostic ModelingGabriel Lipschutz-Villa, Harsh Bandhey, Ruonan Yin, Malek Kamoun, Ryan J. Urbanowicz. 407-415 [doi]
• Dataset Reduction for Offline Reinforcement Learning using Genetic Algorithms with Image-Based HeuristicsEnrique Mateos-Melero, Miguel Iglesias Alcázar, Raquel Fuentetaja 0001, Fernando Fernández. 416-424 [doi]
• PropNEAT - Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology NetworksMichael Merry, Patricia Riddle, James R. Warren. 425-433 [doi]
• Adversarial attacks to image classification systems using evolutionary algorithmsSergio Nesmachnow, Jamal Toutouh. 434-442 [doi]
• Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization AlgorithmsShuaiqun Pan, Yash J. Patel, Aneta Neumann, Frank Neumann 0001, Thomas Bäck, Hao Wang 0025. 443-452 [doi]
• Interpretable Non-linear Survival Analysis with Evolutionary Symbolic RegressionLuigi Rovito, Marco Virgolin. 453-462 [doi]
• ImageBreeder: Guiding Diffusion Models with Evolutionary ComputationDominik Sobania, Martin Briesch, Franz Rothlauf. 463-471 [doi]
• Transformers as Surrogate Models for Genetic Programming in AutoML TasksMatheus Cândido Teixeira, Gisele Lobo Pappa. 472-480 [doi]
• Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge PruningPablo Torrijos, José A. Gámez 0001, José M. Puerta, Juan A. Aledo. 481-489 [doi]
• Feature selection based on cluster assumption in PU learningMotonobu Uchikoshi, Youhei Akimoto. 490-498 [doi]
• Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision-MakingFumito Uwano, Will N. Browne. 499-507 [doi]
• Machine Learning-Assisted Constraint Handling Under Variable Uncertainty for Preference-based Multi-Objective OptimizationDeepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb. 508-516 [doi]
• LAOS: Large Language Model-Driven Adaptive Operator Selection for Evolutionary AlgorithmsYisong Zhang, Guoxing Yi. 517-526 [doi]
• On the Pareto Set and Front of Multiobjective Spherical Functions with Convex ConstraintsAnne Auger, Dimo Brockhoff, Jordan N. Cork, Tea Tusar. 527-535 [doi]
• Genotype vs. Phenotype: A Crossover Operator Comparison for the Multi-Objective Coverage Path Planning ProblemLukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim. 536-544 [doi]
• Influence of Subpopulation on the Performance of Coevolutionary Algorithms for Constrained Multiobjective Optimization ProblemsYanyu Chen, Hisao Ishibuchi, Yang Nan 0001. 545-553 [doi]
• Variable Metric Evolution Strategies for High-dimensional Multi-Objective OptimizationTobias Glasmachers. 554-562 [doi]
• An Evolutionary Algorithm for Solving Decision Space Constrained Multi-Objective Binary Optimization ProblemsFelipe Honjo Ide, Hernán E. Aguirre, Kiyoshi Tanaka. 563-571 [doi]
• High-Dimensional Expensive Multiobjective Optimization Using a Surrogate-Assisted Multifactorial Evolutionary AlgorithmYuma Horaguchi, Masaya Nakata. 572-580 [doi]
• Search Behavior Analysis of NSGA-III: Dominance-based and Decomposition-based Multi-objective Evolutionary AlgorithmHisao Ishibuchi, Lie Meng Pang, Cheng Gong. 581-589 [doi]
• Analyzing the Landscape of the Indicator-based Subset Selection ProblemKeisuke Korogi, Ryoji Tanabe. 590-599 [doi]
• Exploring Phase-Specific Configuration of Interactive Evolutionary Multiobjective Optimization MethodsGiomara Lárraga, Kaisa Miettinen. 600-608 [doi]
• Improved Convergence-relaxed Mechanism for Handling Imbalance Between Convergence and Diversity in the Decision Space in Multimodal Multi-objective optimizationZhipan Li, Wenkai Mao, Huigui Rong, Jianguo Chen 0001, Shengxu Huo, Zilu Zhao. 609-617 [doi]
• Reference Point Specification in Greedy Inclusion Hypervolume-based Subset Selection: A Study on Two ObjectivesAdrián Isaí Morales-Paredes, Jesús Guillermo Falcón-Cardona, Julio Juárez, Hugo Terashima-Marín, Carlos A. Coello Coello. 618-626 [doi]
• R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other IndicatorsYang Nan 0001, Hisao Ishibuchi, Tianye Shu, Ke Shang. 627-635 [doi]
• Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization PerformanceAna Nikolikj, Gabriela Ochoa, Tome Eftimov. 636-644 [doi]
• Addressing Heterogeneous Evaluation Times in Constrained Multi-Objective Optimization using a Mixed-Fidelity Evaluation Technique: Proof-of-Concept ResultsBalija Santoshkumar, Kalyanmoy Deb. 645-653 [doi]
• Scalarization-based Exploratory Landscape Analysis for Multi-Objective Continuous Optimization ProblemsShuhei Tanaka, Shoichiro Tanaka, Toshiharu Hatanaka. 654-662 [doi]
• Multiagent Credit Assignment for Multi-Objective CoordinationRaghav Thakar, Gaurav Dixit, Siddarth Iyer, Kagan Tumer. 663-672 [doi]
• Multi-Objective Covariance Matrix Adaptation MAP-AnnealingShihan Zhao, Stefanos Nikolaidis. 673-682 [doi]
• Constrained Multi-objective Optimization with Search Direction LearningMingcheng Zuo, Dunwei Gong, Tianyang Xue, Chunliang Zhao, Yongde Guo. 683-691 [doi]
• Challenges of Interaction in Optimizing Mixed Categorical-Continuous VariablesYouhei Akimoto, Xilin Gao, Ze Kai Ng, Daiki Morinaga. 692-700 [doi]
• Abnormal Mutations: Evolution Strategies Don't Require GaussianityJacob de Nobel, Diederick Vermetten, Hao Wang 0025, Anna V. Kononova, Günter Rudolph, Thomas Bäck. 701-709 [doi]
• An Adaptive Re-evaluation Method for Evolution Strategy under Additive NoiseCatalin-Viorel Dinu, Yash J. Patel, Xavier Bonet-Monroig, Hao Wang. 710-718 [doi]
• Adaptive Estimation of the Number of Algorithm Runs in Stochastic OptimizationTome Eftimov, Peter Korosec. 719-727 [doi]
• Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ESOskar Girardin, Nikolaus Hansen, Dimo Brockhoff, Anne Auger. 728-736 [doi]
• CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical VariablesRyoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa. 737-745 [doi]
• Toward Efficient Mixed-Integer Black-Box Optimization via Evolution Strategies with Plateau Handling TechniquesTuan-Anh Nguyen, Ngoc Hoang Luong. 746-754 [doi]
• More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEARenzo J. Scholman, Tanja Alderliesten, Peter A. N. Bosman. 755-763 [doi]
• Surrogate-Assisted CMA-ES for Problems with Low Effective DimensionalityYuta Sekino, Yohei Watanabe 0004, Kento Uchida, Shinichi Shirakawa. 764-772 [doi]
• A Perturbation and Speciation-Based Algorithm for Dynamic Optimization Uninformed of ChangeFederico Signorelli, Anil Yaman. 773-781 [doi]
• Energy and Performance Analysis of Parallel Heterogeneous Genetic Algorithms under Various CPU and GPU DVFS Governors: A Preliminary Study on Predictive ProfilingAmr Abdelhafez, Alexey L. Lastovetsky. 782-790 [doi]
• Evo-SINDy: Universal Discovery of Partial Differential Equations Using Cooperative Evolutionary ComputationYuxin Jiang, Jianyong Sun. 791-799 [doi]
• Gradient-Free Sparse Adversarial Attack on Object Detection ModelsChi Cuong Le, Tri Phan, Ngoc Hoang Luong. 800-808 [doi]
• Evolutionary Multitasking for the Scenario-based Travelling Thief ProblemThilina Pathirage Don, Aneta Neumann, Frank Neumann 0001. 809-817 [doi]
• Dramatically Faster Partition Crossover for the Traveling Salesman ProblemOzeas Quevedo de Carvalho, Darrell Whitley. 818-826 [doi]
• Empirical Linkage Learning Provably Builds Truthful Models on Concatenated Traps and H-IFFMarcus Schmidbauer, Dirk Sudholt. 827-835 [doi]
• How Partition Crossover Exposes Parallel Lattices and the Fractal Structure of k-Bounded FunctionsDarrell Whitley, Gabriela Ochoa, Francisco Chicano. 836-844 [doi]
• On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson ProblemLiam Wigney, Aneta Neumann, Yew-Soon Ong, Frank Neumann 0001. 845-853 [doi]
• Augmented Decision Spaces for Stackelberg Security Games: Sparse evolution begets scalabilityAdam Zychowski, Abhishek Gupta 0001, Yew-Soon Ong, Jacek Mandziuk. 854-862 [doi]
• Diversity-driven Cooperating Portfolio of Metaheuristic AlgorithmsAdam Zychowski, Xin Yao, Jacek Mandziuk. 863-871 [doi]
• Analysing the Effectiveness of Mutation Operators for One-Sided Bipartite Crossing MinimisationJakob Baumann, Ignaz Rutter, Dirk Sudholt. 872-880 [doi]
• Hybrid Selection Allows Steady-State Evolutionary Algorithms to Control the Selective Pressure in Multimodal OptimisationDogan Corus, Pietro S. Oliveto, Feiyang Zheng. 881-889 [doi]
• Solving the Cubic Knapsack Problem using the Quantum-Inspired Digital Annealer TechnologyThiago Alves de Queiroz, Manuel Iori, Alberto Locatelli, Matthieu Parizy. 890-897 [doi]
• Enhancing Quality-Diversity Optimization Through Domain-Specific Dissimilarity as Crowding DistanceMaciej Komosinski, Agnieszka Mensfelt. 898-906 [doi]
• Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit SynthesisMichael Kölle 0001, Tom Bintener, Maximilian Zorn, Gerhard Stenzel, Leo Sünkel, Thomas Gabor, Claudia Linnhoff-Popien. 907-915 [doi]
• Key Insights into Estimating Nash Equilibria in Simultaneous Continuous Multiplayer Games Using Coevolutionary AlgorithmsRui Leite, Hernán E. Aguirre, Kiyoshi Tanaka. 916-924 [doi]
• Unlearning Works Better Than You Think: Local Reinforcement-Based Selection of Auxiliary ObjectivesMatthieu Lerasle, Abderrahim Bendahi, Adrien Fradin. 925-933 [doi]
• Quantum Circuit Construction and Optimization through Hybrid Evolutionary AlgorithmsLeo Sünkel, Philipp Altmann, Michael Kölle 0001, Gerhard Stenzel, Thomas Gabor, Claudia Linnhoff-Popien. 934-942 [doi]
• Code Evolution Graphs: Understanding Large Language Model Driven Design of AlgorithmsNiki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck. 943-951 [doi]
• Transformer Semantic Genetic Programming for Symbolic RegressionPhilipp Anthes, Dominik Sobania, Franz Rothlauf. 952-960 [doi]
• Multi-Objective Genetic Programming for Imbalanced Classification with Adaptive Thresholds and a New Fitness FunctionMinghui Bai, Xiaoying Gao, Jiaxin Niu, Jianbin Ma. 961-969 [doi]
• A comparison of tournament and lexicase selection paradigms in regression problems: error-based fitness versus correlation fitnessIllya Bakurov, Aidan Murphy, Charles Ofria, Wolfgang Banzhaf. 970-979 [doi]
• Uniform Projection of Program Space Geometry for Genetic Improvement of SoftwareBenjamin J. Craine, Barry Porter. 980-988 [doi]
• Improving Genetic Programming for Symbolic Regression with Equality GraphsFabrício Olivetti de França, Gabriel Kronberger. 989-998 [doi]
• Evolutionary Synthesis of Probabilistic ProgramsRomina Doz, Francesca Randone, Eric Medvet, Luca Bortolussi. 999-1007 [doi]
• How Neutrality Shapes Evolution: Simplicity Bias and SearchTing Hu 0001, Wolfgang Banzhaf, Gabriela Ochoa. 1008-1016 [doi]
• Reaching Meaningful Diversity with Speciation-Novelty in Genetic Improvement for SoftwareZsolt Németh, Penny Faulkner Rainford, Barry Porter. 1017-1025 [doi]
• Slim_gsgp: A Python Library for Non-Bloating GSGPLiah Rosenfeld, Davide Farinati, Diogo Rasteiro, Gloria Pietropolli, Karina Brotto Rebuli, Sara Silva, Leonardo Vanneschi. 1026-1034 [doi]
• Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic RegressionJiaming Shi, Kei Sen Fong, Mehul Motani. 1035-1043 [doi]
• Desire-Driven Selection: An Epigenetic Experiment in Genetic ProgrammingJosé Maria Simões, Nuno Lourenço 0002, Penousal Machado. 1044-1052 [doi]
• An Online Genetic Programming Approach to Dynamic Production SchedulingBinh Tran, Su Nguyen. 1053-1061 [doi]
• MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement LearningQuentin Vacher, Stephen Kelly, Ali Naqvi, Nicolas Beuve, Tanya Djavaherpour, Mickaël Dardaillon, Karol Desnos. 1062-1071 [doi]
• Program Synthesis with LLM-Predicted Minimal Specialized GrammarsDavid Vella Zarb, Geoffrey T. Parks, Timoleon Kipouros. 1072-1080 [doi]
• Coordinate System Extraction as the Search Driver in Test-Based Genetic ProgrammingDmytro Vitel, Kok Cheng Tan, Alessio Gaspar, R. Paul Wiegand. 1081-1089 [doi]
• Quality Diversity Genetic Programming for Learning Scheduling HeuristicsMeng Xu, Frank Neumann 0001, Aneta Neumann, Yew-Soon Ong. 1090-1098 [doi]
• Interpretable Decision Trees to Predict Solution FitnessGiancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, Russell Ainslie, John A. W. McCall. 1099-1107 [doi]
• Learning Adaptive Neighborhood Search with Dual Operator Selection for Capacitated Vehicle Routing ProblemXiang-Ling Chen, Yi Mei 0001, Mengjie Zhang 0001. 1108-1116 [doi]
• Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature LearningHongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-jiao Gong. 1117-1126 [doi]
• Accurate Peak Detection in Multimodal Optimization via Approximated Landscape LearningZeyuan Ma, Hongqiao Lian, Wenjie Qiu 0007, Yue-jiao Gong. 1127-1136 [doi]
• Surrogate Learning in Meta-Black-Box Optimization: A Preliminary StudyZeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-jiao Gong. 1137-1145 [doi]
• Learning Graph Configuration Spaces to Support Road Network Design OptimisationMichael Mittermaier, Takfarinas Saber, Goetz Botterweck. 1146-1152 [doi]
• Automatic Design of Specialized Variation Operators for the Multi-Objective Quadratic Assignment ProblemAdrián Isaí Morales-Paredes, Julio Juárez, Jesús Guillermo Falcón-Cardona, Hugo Terashima-Marín, Carlos A. Coello Coello. 1153-1161 [doi]
• On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ, λ))-GATai Nguyen 0008, Phong Le, André Biedenkapp, Carola Doerr, Nguyen Dang 0001. 1162-1171 [doi]
• Instance Space Analysis of the Capacitated Vehicle Routing Problem with Mixture Discriminant AnalysisDanielle Notice, Hamed Soleimani, Nicos G. Pavlidis, Ahmed Kheiri, Mario Andrés Muñoz. 1172-1180 [doi]
• The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting WrongGasper Petelin, Gjorgjina Cenikj. 1181-1189 [doi]
• Deep reinforcement learning for instance-specific algorithm configurationElias Schede, Moritz Seiler, Kevin Tierney, Heike Trautmann. 1190-1198 [doi]
• Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization ProblemsLennart Schäpermeier. 1199-1207 [doi]
• Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary MultitaskingRuilin Wang, Xiang Feng, Huiqun Yu, Edmund M.-K. Lai. 1208-1216 [doi]
• Competition and Attraction Improve Model FusionJoão Abrantes, Robert T. Lange, Yujin Tang. 1217-1225 [doi]
• Integrating Neural Architecture Search and Rematerialization for Efficient On-Device LearningChih-Ling Chen, Kai-Chiang Wu, Ning-Chi Huang. 1226-1234 [doi]
• Diversity in Reinforcement Learning Through the Occupancy MeasureArno Feiden, Jochen Garcke. 1235-1245 [doi]
• Evolving Comprehensive Proxies for Zero-Shot Neural Architecture SearchJunhao Huang 0002, Bing Xue, Yanan Sun, Mengjie Zhang. 1246-1254 [doi]
• CPPN2WFC: Extending Wave Function Collapse to Generate Globally Coherent ContentOleg Montoya, Frantisek Srb, Djordje Grbic, Sebastian Risi. 1255-1263 [doi]
• Neuro-Evolutionary Approach to Physics-Aware Symbolic RegressionJirí Kubalík, Robert Babuska. 1264-1272 [doi]
• A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and InterpretabilityQuan Long, Bin Wang 0044, Bing Xue 0001, Mengjie Zhang 0001. 1273-1281 [doi]
• Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral VariationsKonstantinos Mitsides, Maxence Faldor, Antoine Cully. 1282-1290 [doi]
• Visualizing the Dynamics of Neuroevolution with Genetic Distance ProjectionsEvan Patterson, Joshua Karns, Zimeng Lyu, Travis Desell. 1291-1299 [doi]
• Neuroevolution of Self-Attention Over Proto-ObjectsRafael Pinto, Anderson Tavares. 1300-1308 [doi]
• SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture SearchYuyang Zhou, Ferrante Neri, Yew-Soon Ong, Ruibin Bai. 1309-1318 [doi]
• A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport RoutingGuilherme Barbosa, Pedro Pereira, Vasco Abelha, Rui Mendes, Paulo Cortez. 1319-1327 [doi]
• CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data ExtractionPeter J. Bentley, Soo Ling Lim, Fuyuki Ishikawa. 1328-1336 [doi]
• Multi-Agent Swarm Optimization for Decentralized Energy Management Considering Game Behaviors of Electric VehiclesTai-You Chen, Feng-Feng Wei, Wei-neng Chen. 1337-1344 [doi]
• Ensemble Phased Genetic Programming for Roundabout Turn Restriction PredictionDarren M. Chitty, Ayah M. Helal, Sareh Rowlands, Craig Willis, Christopher Underwood, Ed Keedwell. 1345-1353 [doi]
• Optimization of Conformal Cooling Channels for Injection Molding Multi-Objective Artificial Intelligence TechniquesAntónio Gaspar-Cunha, João Melo, Tomás Marques, António J. Pontes. 1354-1361 [doi]
• Exploring the Expressive Space of an Articulatory Vocal Modal using Quality-Diversity Optimization with Multimodal EmbeddingsJoris Grouwels, Nicolas Jonason, Bob L. T. Sturm. 1362-1370 [doi]
• GA-PRE: A Genetic Algorithm-Based Automatic Data Preprocessing AlgorithmJian Jiao, Liu Yuan. 1371-1378 [doi]
• Tomographic Reconstruction with Real-time a priori AcquisitionMuhammad Wishal Khan, Hooman Oroojeni M. J., Bal Sanghera, Tim Blackwell, Mohammad Majid al-Rifaie. 1379-1387 [doi]
• Unveiling the dynamics of NOx pollution in internal combustion engines by Structured Grammatical EvolutionMarcos Llamazares López, Daniel Parra, José Manuel Velasco Cabo, Oscar Garnica, Rafael Jacinto Villanueva Micó, J. Ignacio Hidalgo. 1388-1396 [doi]
• Symbolic Pricing Policies for Attended Home Delivery - the Case of an Online RetailerMiguel Lunet, Daniela Fernandes, Fábio Neves-Moreira, Pedro Amorim. 1397-1405 [doi]
• Seeking and leveraging alternative variable dependency concepts in gray-box-elusive bimodal land-use allocation problemsJakub Maciazek, Michal Przewozniczek, Jonas Schwaab. 1406-1414 [doi]
• Feature Selection Using Genetic Algorithm for Intrusion Detection on Resource-Constrained Edge DevicesTijana Markovic, Pontus Lidholm, Per Erik Strandberg, Miguel Leon 0001. 1415-1423 [doi]
• Bayesian Optimization for CVaR-based portfolio optimizationRobert Millar, Jinglai Li. 1424-1432 [doi]
• Contribution of Probabilistic Structured Grammatical Evolution to efficient exploration of the search space. A case study in glucose predictionJessica Mégane, Nuno Lourenço 0002, J. Ignacio Hidalgo, Penousal Machado. 1433-1442 [doi]
• Orthogonal Genetic Algorithm for Efficient Delivery Route Planning in TSP-DIyed Nasra, Hervé Camus, Ghaith Manita, Amine Dhraief, Ouajdi Korbaa. 1443-1452 [doi]
• Search-based Generation of Waypoints for Triggering Self-Adaptations in Maritime Autonomous VesselsKaroline Nylænder, Aitor Arrieta, Shaukat Ali 0001, Paolo Arcaini. 1453-1461 [doi]
• Navigating Path-Influenced Environments using Evolutionary Multi-Objective OptimizationCarlo Nübel, Malte Speidel, Sanaz Mostaghim. 1462-1470 [doi]
• A Quality Diversity Approach to Evolving Model RocketsJacob Schrum, Cody Crosby. 1471-1479 [doi]
• Optimization of Unequal-Area Facility Layouts for Mass-Customization Assembly Systems with AGV Material HandlingThomas Seidelmann, Sanaz Mostaghim. 1480-1488 [doi]
• Evolutionary Algorithms for Metabolic Transformation through Multi-gene Knockout OptimizationBruno Sá, Alexandre Oliveira, Miguel Rocha. 1489-1496 [doi]
• Differential Evolution for Infeasible Circumstances in Network-Assisted Full-Duplex Cell-Free Massive MIMOTrinh Van Chien, Bui Trong Duc, MohammadAli Mohammadi, Hien Quoc Ngo, Michail Matthaiou. 1497-1505 [doi]
• Sequence Optimization of Multispacecraft Multitarget Rendezvous Missions with a Coevolutionary AlgorithmYu Zhang, Yue-he Zhu, Jiacheng Zhang, Yazhong Luo. 1506-1514 [doi]
• Learning Grouping Heuristics in Ant Colony Optimization for Combinatorial ProblemsAseel Ismael Ali, Edward C. Keedwell, Ayah Helal. 1515-1522 [doi]
• Congestion-Aware Multi-Agent Path Planning for Pick-Up and Delivery TasksMehrdad Asadi, Ann Nowé, Javad Ghofrani. 1523-1531 [doi]
• An Ensemble Ant Colony Optimization Algorithm with a Hybrid Pheromone Model for Learning Rule ListsJames Brookhouse, Ayah Helal, Fernando E. B. Otero. 1532-1539 [doi]
• Adaptive Multi-Population Dynamic Optimization for Multimodal Dynamic Function OptimizationShoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama. 1540-1548 [doi]
• Lifelong Evolution of SwarmsLorenzo Leuzzi, Davide Bacciu, Sabine Hauert, Simon Jones, Andrea Cossu. 1549-1557 [doi]
• Evolving Neural Controllers for Adaptive Visual Pattern Formation by a Swarm of RobotsAlessia Loi, Nicolas Bredèche. 1558-1566 [doi]
• Minimalist exploration strategies for robot swarms at the edge of chaosVinicius Sartorio, Luigi Feola, Vito Trianni, Jônata Tyska Carvalho. 1567-1576 [doi]
• HSEPSO: A Hierarchical Self-Evolutionary PSO Approach for UAV Path PlanningJie Wei, Yuhui Zhang, Wenhong Wei. 1577-1584 [doi]
• Improved Runtime Analysis of a Multi-Valued Compact Genetic Algorithm on Two Generalized OneMax ProblemsSumit Adak, Carsten Witt. 1585-1593 [doi]
• A General Upper Bound for the Runtime of a Coevolutionary Algorithm on Impartial Combinatorial GamesAlistair Benford, Per Kristian Lehre. 1594-1603 [doi]
• Why Dominance Is Not Enough: Lessons from Practical Evolutionary Multi-Objective AlgorithmsDuc-Cuong Dang, Andre Opris, Dirk Sudholt. 1604-1612 [doi]
• Runtime Analysis of Evolutionary Multitasking for Classical Benchmark ProblemsJohannes Lengler, Aneta Neumann, Frank Neumann 0001. 1613-1621 [doi]
• Random Gradient Hyper-heuristics Can Learn to Escape Local Optima in Multimodal OptimisationYuxuan Ma, Pietro S. Oliveto, John Alasdair Warwicker. 1622-1630 [doi]
• A Royal Road Function for Permutation Spaces: an Example Where Order Crossover is Provably EssentialAndre Opris, Sebastian Sonntag, Dirk Sudholt. 1631-1640 [doi]