Table of Contents

• Neighborhood Adaptive Differential EvolutionNiki van Stein. 1-2 [doi]
• LLM-Driven Evolution of Metaheuristic Components for GNBG BenchmarkPawel Kolendo, Michal Pluhacek, Wojciech Chmiel. 3-4 [doi]
• Constructing Differential Evolution via LLM Prompt ChainingDominik Papaj, Tomasz Karpinski, Rohit Salgotra. 5-6 [doi]
• EASE-ing into Global Optimization with LLMsAdam Viktorin, Tomas Kadavy, Jozef Kovác, Michal Pluhacek, Roman Senkerik. 7-8 [doi]
• ALSHADE-jSO Algorithm Solving the GNBG-II Test SuitePooja Verma, Reshu Chaudhary, Amanjot Kaur Lamba, Rohit Salgotra. 9-10 [doi]
• Hot off the Press: First Steps Towards a Runtime Analysis When Starting With a Good SolutionDenis Antipov, Maxim Buzdalov 0001, Benjamin Doerr. 11-12 [doi]
• An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary AlgorithmsChao Bian 0002, Shengjie Ren, Miqing Li, Chao Qian 0001. 13-14 [doi]
• Hot off the Press: Runtime Analysis of the Compact Genetic Algorithm on the LeadingOnes BenchmarkMarcel Chwialkowski, Benjamin Doerr, Martin S. Krejca. 15-16 [doi]
• Hot off the Press: Runtime Analysis for State-of-the-Art Multi-objective Evolutionary Algorithms on the Subset Selection ProblemRenzhong Deng, Weijie Zheng 0001, Mingfeng Li, Jie Liu, Benjamin Doerr. 17-18 [doi]
• Multi-Objective Bayesian Optimization with Reinforcement Learning for Edge Deployment of DNNs on MicrocontrollersMark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich. 19-20 [doi]
• Hot off the Press: Proven Runtime Guarantees for How the MOEA/D Computes the Pareto Front From the Subproblem SolutionsBenjamin Doerr, Martin S. Krejca, Noé Weeks. 21-22 [doi]
• Hot off the Press: Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer SpacesBenjamin Doerr, Martin S. Krejca, Günter Rudolph. 23-24 [doi]
• Hot off the Press: Speeding Up the NSGA-II With a Simple Tie-Breaking RuleBenjamin Doerr, Tudor Ivan, Martin S. Krejca. 25-26 [doi]
• Fitness Landscapes of Buffer Allocation Problem in Production Lines and Genetic Algorithms PerformanceAlexandre Dolgui, Anton V. Eremeev, Vyatcheslav S. Sigaev. 27-28 [doi]
• Discovering Shared Function Structures with Adaptable Parameters for Multi-Level Modeling via Symbolic RegressionKei Sen Fong, Mehul Motani. 29-30 [doi]
• Selection Methods in Genetic Programming: A Performance AnalysisAlina Geiger, Dominik Sobania, Franz Rothlauf. 31-32 [doi]
• Evolutionary Multiobjective Optimization Assisted by Scalarization Function Approximation for High-Dimensional Expensive Problems (HOP GECCO'25)Yuma Horaguchi, Kei Nishihara 0001, Masaya Nakata. 33-34 [doi]
• Hot Off the Press: Multi-Objectivising Acquisition Functions in Bayesian OptimisationChao Jiang, Miqing Li. 35-36 [doi]
• Hot off the Press: No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial OptimisationPer Kristian Lehre, Shishen Lin. 37-38 [doi]
• Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective OptimizationJiao Liu 0006, Abhishek Gupta 0001, Yew-Soon Ong. 39-40 [doi]
• Towards Running Time Analysis of Interactive Multi-objective Evolutionary AlgorithmsTianhao Lu, Chao Bian 0002, Chao Qian 0001. 41-42 [doi]
• Analyzing Single-objective Black-box Optimization Algorithms Using the Empirical Attainment FunctionManuel López-Ibáñez 0001, Diederick Vermetten, Johann Dréo, Carola Doerr. 43-44 [doi]
• GSGP-Hardware: FPGA implementation of GSGPYazmín Maldonado, Ruben Salas, Joel A. Quevedo, Rogelio Valdez, Leonardo Trujillo. 45-46 [doi]
• Knowledge-based Optimization in Epidemics PreventionKrzysztof Michalak. 47-48 [doi]
• A Many-Objective Problem Where Crossover is Provably IndispensableAndre Opris. 49-50 [doi]
• Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context (Extended Abstract)Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena. 51-52 [doi]
• On Defining and Discovering Non-Symmetrical DependenciesMichal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki. 53-54 [doi]
• Hot off the Press: Can Evolutionary Clustering Have Theoretical Guarantees?Chao Qian 0001. 55-56 [doi]
• Hot off the Press: Quality-Diversity Algorithms Can Provably Be Helpful for OptimizationChao Qian 0001, Ke Xue 0001, Ren-Jian Wang. 57-58 [doi]
• Maintaining Diversity Provably Helps in Evolutionary Multimodal OptimizationShengjie Ren, Zhijia Qiu, Chao Bian 0002, Miqing Li, Chao Qian 0001. 59-60 [doi]
• Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal OptimizationAngel E. Rodriguez-Fernandez, Lennart Schäpermeier, Carlos Ignacio Hernández Castellanos, Pascal Kerschke, Heike Trautmann, Oliver Schütze 0001. 61-62 [doi]
• Doubly Stochastic Matrix Models and the Quadratic Assignment ProblemValentino Santucci, Josu Ceberio. 63-64 [doi]
• Finding the Set of Nearly Optimal Solutions of a Multi-objective Optimization ProblemOliver Schütze 0001, Angel E. Rodriguez-Fernandez, Carlos Segura, Carlos Ignacio Hernández Castellanos. 65-66 [doi]
• EVOTER: Evolution of Transparent Explainable Rule setsHormoz Shahrzad, Babak Hodjat, Risto Miikkulainen. 67-68 [doi]
• Evidential Fuzzy Rule-Based Machine Learning to Quantify Classification UncertaintyHiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata. 69-70 [doi]
• Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine LearningHiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata. 71-72 [doi]
• Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker TasksRobert Smith, Malcolm I. Heywood. 73-74 [doi]
• Alternating between Surrogate Model Construction and Search for Configurations of an Autonomous Delivery System (Hot off the Press at GECCO 2025)Chin-Hsuan Sun, Thomas Laurent 0003, Paolo Arcaini, Fuyuki Ishikawa. 75-76 [doi]
• New evolutionary methods for solving single- and multi-objective political redistricting problems: The context of PolandMichal Tomczyk, Milosz Kadzinski. 77-78 [doi]
• Explainable Benchmarking for Iterative Optimization HeuristicsNiki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck. 79-80 [doi]
• LLaMEA: Automatically Generating Metaheuristics with Large Language ModelsNiki van Stein, Thomas Bäck. 81-82 [doi]
• Hot Off the Press: A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary AlgorithmsHao Wang 0025, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés Piña, Oliver Schütze 0001. 83-84 [doi]
• Hot off the Press: Near-Tight Runtime Guarantees for Many-Objective Evolutionary AlgorithmsSimon Wietheger, Benjamin Doerr. 85-86 [doi]
• On the Generalisation Performance of Geometric Semantic Genetic Programming for Boolean Functions: Learning Block MutationsDogan Çörüs, Pietro S. Oliveto. 87-88 [doi]
• Walking School Bus PlanningLeena N. Ahmed, Matthias Ehrgott, Judith Y. T. Wang, Ahmed Kheiri. 89-90 [doi]
• Evolutionary Manifold Learning for Automated Extraction of Data TopologyJulia Borisova, Alexander Hvatov. 91-92 [doi]
• Resilience of Evolutionary Algorithms to Aggressive Compilation OptimizationCarlos Cotta, Jesús Martínez-Cruz. 93-94 [doi]
• Applying Multi-Objective Differential Evolution for IoT Application Design in the Edge-Cloud ContinuumGianluigi Folino, Antonio Francesco Gentile, Rosa Varchera, Andrea Vinci. 95-96 [doi]
• Introducing H-Leading-Ones as a Mixed-Category Benchmark Problem for Evolutionary AlgorithmsCôme Frappé Vialatoux, Pierre Parrend. 97-98 [doi]
• Indirect Credit Without A Heuristic For Coevolving AgentsEverardo Gonzalez, Raghav Thakar, Kagan Tumer. 99-100 [doi]
• From Trees to Cuts: Statistical Insights into Spanning-Tree-Based Max-Cut AlgorithmsHo Jun Jang, Yong-Hyuk Kim. 101-102 [doi]
• A Novel Metaheuristic Approach to Monolith Decomposition into MicroservicesAna C. Martínez Saucedo, Guillermo Rodríguez 0002, Virginia Yannibelli. 103-104 [doi]
• Towards Automated Innovization for Route Planning: Innovized Heuristics and Problem Class BoundsEva Röper, Christoph Steup, Sanaz Mostaghim. 105-106 [doi]
• Numerical Global Optimization Competition on GNBG-II generated Test SuiteRohit Salgotra, Amir H. Gandomi, Kalyanmoy Deb. 107-108 [doi]
• Initial Population of NSGA-II for Solving Similar Multi-Objective Optimization ProblemsYuji Sato, Mikiko Sato, Hiroki Yamada. 109-110 [doi]
• Towards Swarms of Long Heavy Articulated VehiclesAdrian Schönnagel, Michael Dubé, Sanaz Mostaghim. 111-112 [doi]
• Augmentation of Laser Welding Dataset through a combination of Evolutionary Optimization and Deep LearningGleb V. Solovev, Mikhail Sokolov, Aveen Hussein, Nikolay O. Nikitin. 113-114 [doi]
• softpy: A User-Friendly Python Library for Soft ComputingAndrea Campagner, Davide Ciucci. 115-118 [doi]
• CRust_GP: A Framework for the Modular Construction and Evaluation of Cartesian Genetic Programming in RustHenning Cui, Jörg Hähner. 119-122 [doi]
• An Investigation of Inherent Structural Bias in Established Benchmark SetsDavid Ibehej, Alexandros Tzanetos, Martin Jurícek, Jakub Kudela. 123-126 [doi]
• TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic ProgrammingRoman Kalkreuth, Fabrício Olivetti de França, Anja Jankovic 0003, Marie Anastacio, Julian Dierkes, Zdenek Vasícek, Holger Hoos. 127-130 [doi]
• CoSPLib - A Benchmark Library for Conference Scheduling ProblemsAhmed Kheiri, Yaroslav Pylyavskyy, Peter Jacko. 131-134 [doi]
• Empirical Complexity Analysis of Optimization AlgorithmsRaúl Martín-Santamaría, Manuel López-Ibáñez 0001, J. Manuel Colmenar. 135-138 [doi]
• Analyzing per-component energy consumption of evolutionary algorithms implemented in low-level languages: Comparison of C++ and zig in key evolutionary algorithm functionsJuan Julián Merelo, Gustavo Romero López, Mario García Valdez. 139-142 [doi]
• Othimi: A Block-Based Educational Programming Tool for Metaheuristic Design and OptimizationGara Miranda, Casiano Rodriguez-Leon, Eduardo Segredo. 143-146 [doi]
• Evolve On Click (EvOC) - An Intuitive Web Platform to Collaboratively Implement, Execute, and Visualize Evolutionary AlgorithmsRitwik Murali, Ashwin Narayanan Sivamani, Abhinav Ramakrishnan, Hariharan Arul, Ananya R. 147-150 [doi]
• Large Language Model Driven Evolutionary Optimization Benchmark Generation AlgorithmYuhiro Ono, Tomohiro Harada, Yukiya Miura. 151-154 [doi]
• Evorobotpy3: a flexible and easy-to-use simulation tool for Evolutionary RoboticsPaolo Pagliuca, Stefano Nolfi, Alessandra Vitanza. 155-158 [doi]
• IGJSP: A Reproducible Instance Generator for Job Shop SchedulingChristian Pérez, Carlos March, Miguel A. Salido. 159-162 [doi]
• Energy Efficiency of C++ Standard Random Number GeneratorsGustavo Romero López, Juan Julián Merelo Guervós. 163-166 [doi]
• Evolutionary Generation of Random Surreal Numbers for BenchmarkingMatthew Roughan. 167-170 [doi]
• A Comparison of Dimensionality Reduction Techniques for Visualising Search BehaviourHelena Stegherr, Michael Heider, Jonathan Wurth, Jörg Hähner. 171-174 [doi]
• Autoverse: Evolving Symbolic Neural Cellular Automata Environments to Train Player AgentsSam Earle, Julian Togelius. 175-178 [doi]
• Hybrid Approach for Multi-Robot Task Allocation in Search and Rescue Operations Using NSGA-II and Variable Neighborhood DescentTatiana Machado Brito dos Santos, Milena Faria Pinto, Matheus B. Jenevain, Laís Rios Berno, Igor Machado Coelho. 179-182 [doi]
• Size Matters: Variable-Length Bones in Evolvable Modular RobotsMaarten A. Stork, Roy de Regt, Duy Tan Robin Nguyen, Ágoston E. Eiben. 183-186 [doi]
• Accelerating Soft Robot Evolution Using N-gram-based Controller Inheritance and Genetic Co-DesignYue Xie, XueMing Yan, Fumiya Iida. 187-190 [doi]
• An analysis of training models to evolve relocation rules for the container relocation problemMarko Durasevic, Mateja Dumic, Francisco Javier Gil Gala, Domagoj Jakobovic. 191-194 [doi]
• Evolving Cryptographic Boolean Functions with Reaction SystemsRocco Ascone, Luca Mariot, Luca Manzoni, Gloria Pietropolli. 195-198 [doi]
• Destination-Oriented Route Construction for Ant Colony Optimization to Solve MinMax Multiple Travelling Salesmen ProblemsHai-Long Bai, Qiang Yang 0008, Pei-Yan Yuan, Dan-Ting Duan, Tao Li 0023, Dong Liu 0008, Jun Zhang 0003. 199-202 [doi]
• New QUBO Transformations to Improve Quantum and Simulated Annealing Performance for Quadratic KnapsackNicolás Borrajo, Juan Marcos Ramirez, Farzam Nosrati, José Aguilar 0001, Vincenzo Mancuso, Antonio Fernández Anta. 203-206 [doi]
• Improving Deep Optimisation for the Multi-dimensional Knapsack Problem using Elastic Weight ConsolidationAntoine Calame, Ruth Misener, Joshua D. Knowles. 207-210 [doi]
• Greedy Randomised Adaptive Solution Builder using Priority RulesFrancisco Javier Gil Gala, Marko Durasevic, María R. Sierra, Jorge Puente 0001. 211-214 [doi]
• L-DEGR: A Novel Hybrid Algorithm for Multi-Skill Resource-Constrained Project Scheduling in Large-ScaleKonrad Gmyrek, Pawel B. Myszkowski, Jan Gregor, Lukasz P. Olech. 215-218 [doi]
• Generalising the Team Orienteering problem through Multi-constraining and Multi-objectivesRaimundo Gross, Elizabeth Montero, Nicolás Gálvez Ramírez, Adriana Menchaca-Méndez. 219-222 [doi]
• Lazy Hypervolume Subset Selection Algorithm with Contributions UpdateAndrzej Jaszkiewicz, Piotr Zielniewicz. 223-226 [doi]
• Clustering-Assisted Ant Colony Optimization for Large-Scale Travelling Salesman ProblemZhong-Heng Jiang, Qiang Yang 0008, Dan-Ting Duan, Peilan Xu, Chengzhi Qu, Zhenyu Lu 0002, Jun Zhang 0003. 227-230 [doi]
• A Tabu Search Algorithm Based on Symmetry Local Search for Multi-objective Combinatorial Optimization ProblemsTianyang Li, Ying Meng, Lixin Tang, Qingxin Guo. 231-234 [doi]
• Empirical Studies of Multimodality in Feature Selection: Generalized Crowding for Genetic AlgorithmsCorentin Masson, Ole Jakob Mengshoel, Xavier F. C. Sánchez-Díaz. 235-238 [doi]
• Solution Approaches for the Balanced Task Planning ProblemFabian Nagler, Nysret Musliu, Felix Winter. 239-242 [doi]
• Automated Design of Heuristics with Genetic Programming for the Electric Vehicle Routing Problem with Partial RechargingMagda Smolic-Rocak, Marko Durasevic, Josip Hrvatic, Francisco Javier Gil Gala. 243-246 [doi]
• Spectral Walsh analysis and surrogate-assisted optimization: example of the bus stops spacing problemValentin Vendi, Sébastien Vérel, Cyril Fonlupt. 247-250 [doi]
• Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary SwarmsMehrdad Asadi, Roxana Radulescu, Ann Nowé. 251-254 [doi]
• Investigating Combined Algorithm Selection and Hyperparameter Optimization for FairnessZhiang Chen 0001, Mark Connor, Sudarshan Pant, Michael O'Neill 0001. 255-258 [doi]
• Hybrid Deterministic and Metaheuristic Optimization for Physical Adversarial Attack on End-to-End Autoencoder Wireless Communication SystemsHo Viet Duc Luong, Trinh Van Chien, Lang Hong Nguyet Anh, Huynh Thi Thanh Binh. 259-262 [doi]
• CG-CANTS-N: A Versatile Graph-Based Framework for Scalable and Adaptive Problem Solving Across DomainsAbdElRahman ElSaid, Travis Desell. 263-266 [doi]
• SLIME: Supralocal Interpretable Model-Agnostic Explanations via Evolved Equation-Based SurrogatesKei Sen Fong, Mehul Motani. 267-270 [doi]
• GLCM and Genetic Algorithms for Automated Diabetic Retinopathy Prediction Based on Retinal ImagesMichal Gandor, Wojciech Ksiazek. 271-274 [doi]
• Q-Learning-Assisted DE and PSO for Enhanced Dose Planning in RadiotherapyDevika Gautam, Yogesh Kumar. 275-278 [doi]
• Partition2Vec - Towards Representation Learning for Evolutionary Clustering using Siamese AutoencodersJulia Handl. 279-282 [doi]
• Evaluating the Generalizability of Machine Learning Pipelines When Using Lexicase or Tournament SelectionJose Guadalupe Hernandez, Anil Kumar Saini, Ankit Gupta, Jason H. Moore. 283-286 [doi]
• LIMES: Learning from Imbalanced Data via Multiform Multi-Objective Feature SelectionRuwang Jiao, Tao Peng, Naoki Masuyama, Yusuke Nojima. 287-290 [doi]
• An Evolutionary Approach to Interpretable Machine Learning for ICU Length of Stay PredictionReshma Kar, Eslin Kiran Ilangovan, Gulhan Bizel, Braja Gopal Patra. 291-294 [doi]
• Sparse Transformer for Long-term Forecasting via Genetic AlgorithmJingeun Kim, Yourim Yoon. 295-298 [doi]
• Particle Swarm Optimization for Automating Prompt Optimization in Large Language Models on Text Classification and Generation TasksLinsen Li, Bin Wang, Bing Xue 0001, Mengjie Zhang 0001. 299-302 [doi]
• On the Investigation of Evolutionary Multi-Objective Optimization for Discrete Prompt SearchHieu-Hien Mai, Ngoc Hoang Luong. 303-306 [doi]
• Reinforcement Learning-based Genetic Algorithm for Computation Offloading Optimization in UAV-assisted MEC SystemsNguyen Thi My Binh, Le Vu Minh Tam, Ho Viet Duc Luong, Trinh Van Chien, Huynh Thi Thanh Binh. 307-310 [doi]
• Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement LearningSo Nakashima, Tetsuya J. Kobayashi. 311-314 [doi]
• Diversifying Adversarial Attacks on Text-to-image GenerationThai Huy Nguyen, Ngoc Hoang Luong. 315-318 [doi]
• Reinforcement Learning-based Cloud Autoscaler Initialization via Evolutionary AlgorithmsLuciano Robino, Elina Pacini, Yisel Gari, Cristian Mateos, Virginia Yannibelli, David A. Monge. 319-322 [doi]
• Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor SegmentationShoffan Saifullah, Rafal Drezewski. 323-326 [doi]
• A Comparison and Analysis of LLM Agents within the Context of An LLM-Guided Evolution for Object DetectionYiming Yu, Jason Zutty. 327-330 [doi]
• A Two-Stage Explanation-Based Method Using Particle Swarm Optimization for Black-Box Adversarial AttackChaoxin Zhang, Gonglin Yuan, Hongwei Ge, Yaqing Hou. 331-334 [doi]
• Local Self-Adaptive Mutation: Enhancing Multi-Objective Optimization through Localized Operator Selection and Parameter AdaptationMichal Antkiewicz. 335-338 [doi]
• COTLEA: COpula-based Transfer Learning Evolutionary Algorithm for Multi-Objective Optimization ProblemsFodil Benali, Cyril De Runz, Nicolas Labroche, Hicham Elmokhtari. 339-342 [doi]
• Improving the Convergence and Diversity of Evolutionary Algorithms in Biobjective Optimization ProblemsAntonio Borrego, Mariano Luque, Rubén Saborido. 343-346 [doi]
• A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective OptimizationSiyu Chen, Haoran Tang, Jinyuan Zhang, Ke Tang 0001. 347-350 [doi]
• When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective OptimisationZhiji Cui, Zimin Liang, Lie Meng Pang, Hisao Ishibuchi, Miqing Li. 351-354 [doi]
• A Simple Combination of Local Search and MOEAD for Combinatorial Multi-objective OptimizationBilel Derbel. 355-358 [doi]
• Investigating the Spreadability of Problems in Evolutionary Multi-objective Optimization AlgorithmsWeifeng Guan, Fangqing Gu, Yingxuan Liang, Hailin Liu, Yuping Wang. 359-362 [doi]
• Targeting Evaluation, Computation and Interaction Costs in Expensive Black-Box Multi-Objective OptimizationArash Heidari, Sebastian Rojas-Gonzalez, Ivo Couckuyt. 363-366 [doi]
• Multi-Objective Fairness Approach Using Causal Bayesian Networks & Grammatical EvolutionZahid Irfan, Róisín Loughran, Muhammad Adil Raja, Fergal McCaffery. 367-370 [doi]
• Optimization of Time-Variant Charging Station Placement Using Evolutionary AlgorithmsSai Lokesh Kancharla, Sebastian Brulin, Sanaz Mostaghim, Markus Olhofer. 371-374 [doi]
• Efficient Contextual Preferential Bayesian Optimization with Historical ExamplesFarha A. Khan, Tanmay Chakraborty, Jörg P. Dietrich, Christian Wirth 0001. 375-378 [doi]
• An Arithmetic Optimization Algorithm with Dynamic State Estimation for Deadline-Constrained Workflow SchedulingNajwa Kouka, Sabrina De Capitani di Vimercati, Vincenzo Piuri, Pierangela Samarati. 379-382 [doi]
• Multi-criteria Optimization Algorithms specially tailored for Programmable Networks with Quality ManagementStanislaw Kozdrowski, Wojciech Makos, Zbigniew Kopertowski, Slawomir Sujecki. 383-386 [doi]
• A Constrained Multi-objective Co-Evolutionary Algorithm Based on Operator Score and RewardKangshun Li, Juhong Wu, Shumin Xie. 387-390 [doi]
• A Hyper-feasible Solutions Based Update Weight Vectors Evolutionary Algorithm for Constrained Multiobjective Optimization ProblemKangshun Li, Tianjin Zhu, Shumin Xie. 391-394 [doi]
• Model-Adaptive Reference Points Generation based on Gaussian Process for Many-Objective OptimizationAtiya Masood. 395-398 [doi]
• Uncertainty Quantification of the Hypervolume for Evolutionary Multi-Objective Reinforcement LearningAlberto Maximiliano Millán, Carlos Ignacio Hernández Castellanos. 399-402 [doi]
• Multi-Objective Evolutionary Sunshade DesignFarzana Haque Toma, Geoff Nitschke. 403-406 [doi]
• CRSGA: Cluster-Based Region Selection Genetic Algorithm Solving Multi-Objective Travelling Thief ProblemLukasz P. Olech, Pawel B. Myszkowski, Konrad Gmyrek. 407-410 [doi]
• Multi-Objective Optimisation of the Generalized Bin Packing ProblemRosephine Georgina Rakotonirainy, Andrea Plumbley. 411-414 [doi]
• Benchmarking MOEAs for solving continuous multi-objective RL problemsRoberto Santana Hermida, Carlos Ignacio Hernández Castellanos. 415-418 [doi]
• Multi-objective Traveling Salesman Problem with Profits and Passengers: Exact, Heuristic and Evolutionary ApproachesJuvenal B. A. Silva, Tarcisio A. P. Brito, Ricardo Araújo Rios, Tatiane Nogueira Rios, Islame F. C. Fernandes. 419-422 [doi]
• GraCo: Towards GRammar Assisted COunterfactualsDhiraj Kumar Singh, Allan de Lima, Darian Reyes Fernández de Bulnes, Conor Ryan. 423-426 [doi]
• A Dynamic Constrained Multiobjective Evolutionary Algorithm based on Convergence Path InterpolationGuangyuan Sui, Cuicui Yang, Junzhong Ji, Xiaoyu Zhang. 427-430 [doi]
• Investigating the Climbing Mechanism of the Weight-Guided Random Bit Climber for Many-Objective OptimizationYudai Tagawa, Hernán E. Aguirre, Kiyoshi Tanaka. 431-434 [doi]
• A bi-objective Medical Sampling Service SystemHue Thi Tran, Ky Tuan Hoang, Phuong Khanh Nguyen, Huynh Thi Thanh Binh. 435-438 [doi]
• A Continuation Method Based on CMA-ESHoang-Nguyen Vu, Dimo Brockhoff. 439-442 [doi]
• Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on the Performance of Evolutionary AlgorithmsJinglin Wang, Hongyu Zhu, Yang Nan 0001, Hisao Ishibuchi. 443-446 [doi]
• A New Framework for Visualising Diversity Properties of Pareto Front Approximations in Many-objective OptimisationKai Eivind Wu, George Panoutsos. 447-450 [doi]
• Modeling and Solution to Hot Rolling Production Rescheduling ProblemGe-Jian Xu, Yang Yang 0180, Guo-dong Zhao, Hua Zou. 451-454 [doi]
• MGDA/D: A Multiple Gradient Descent Algorithm Based on DecompositionYawen Zhou, Ke Xue, Chao Qian 0001. 455-458 [doi]
• A customized MOEA/D with active element pattern surrogate model for direction finding array designHanhua Zou, Ruwang Jiao, Fei Zhao, Changhe Li, Sanyou Zeng. 459-462 [doi]
• Simulated Annealing-based Evolutionary Algorithm for Constrained Multimodal Multiobjective OptimizationJuan Zou, Yu Li, Qi Deng, Tianbin Xie, Sheng-Xiang Yang, Jin-hua Zheng. 463-466 [doi]
• Reinforcement Learning-Guided Multi-Environmental Selection Strategy for Constrained Multi-Objective Evolutionary OptimizationMingcheng Zuo, Yuan Xue, Dunwei Gong, Shujing Gao, Yongde Guo. 467-470 [doi]
• Covariance Matrix Adaptation Evolution Strategy without a matrixJaroslaw Arabas, Adam Stelmaszczyk, Eryk Warchulski, Dariusz Jagodzinski, Rafal Biedrzycki. 471-474 [doi]
• Comparing Optimization Algorithms Through the Lens of Search Behavior AnalysisGjorgjina Cenikj, Gasper Petelin, Tome Eftimov. 475-478 [doi]
• Using Variable Interaction Graphs to Improve Particle Swarm OptimizationCasimir Czworkowski, John W. Sheppard. 479-482 [doi]
• Exploring Heterogeneity in Constrained Optimization: An Adaptive Two-Stage Surrogate-Assisted Evolutionary AlgorithmChenyan Gu, Handing Wang. 483-486 [doi]
• Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance PredictionAna Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov. 487-490 [doi]
• Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective DimensionalityHaruhito Nakagawa, Yutaro Yamada, Kento Uchida, Shinichi Shirakawa. 491-494 [doi]
• CMA-ES with Individual Adaptive Reevaluation for Black-Box Value-At-Risk OptimizationZe Kai Ng, Daiki Morinaga, Youhei Akimoto. 495-498 [doi]
• Enhancing CMA-ES-PDM for Mixed-Integer Black-Box OptimizationDuc Manh Nguyen. 499-502 [doi]
• Efficient Quality Diversity Optimization with Monte Carlo Bayesian SamplingMatteo Palmas, Varun Bhatt, Shihan Zhao, Stefanos Nikolaidis, Ralph Lange, Michaela Klauck. 503-506 [doi]
• A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex OverlappingWenjie Qiu 0007, Hongshu Guo, Zeyuan Ma, Yue-jiao Gong. 507-510 [doi]
• Search Space Selection Using Constrained Mixed-Integer Optimization MethodKento Uchida, Yohei Watanabe 0004, Ryoki Hamano, Shinichi Shirakawa. 511-514 [doi]
• A Genetic Algorithm for Solving the Three-Dimensional Bin Set Selection ProblemLeon Binder, Michael Scholz 0002. 515-518 [doi]
• Genetic Algorithm-Based Optimization of High-Density EEG Channels for Eye State Classification with a Refined Subset ApproachIndrajit Dutta, Sandip Chakraborty 0002, Sourav Samanta, Bibhash Sen. 519-522 [doi]
• A Parameter Adaptive Genetic Algorithm With Restarts for Flexible Job Shop Scheduling Problems with Worker FlexibilityDavid Hutter, Thomas Steinberger, Michael Hellwig. 523-526 [doi]
• An LLM-Based Genetic Algorithm for Prompt EngineeringLeandro Augusto Loss, Pratikkumar Dhuvad. 527-530 [doi]
• Local Search Integrated Genetic Algorithms for Solving the Colored Traveling Salesman ProblemKaruna Panwar, Kusum Deep. 531-534 [doi]
• Leveraging Genetic Algorithm to Refine Genetic Programming-Evolved Dispatching Rules for Flexible Job Shop SchedulingShady Salama, Máté Kovács. 535-538 [doi]
• Avoiding Premature Convergence to Local Optima with Adaptive Exploration for Genetic AlgorithmsSumaiya Saima Sultana, Tomohiko Tanabe, Tobias Fausten, Mitsuru Irie. 539-542 [doi]
• Evolutionary Black-box Patch Attacks on Face VerificationKhoa Tran, Linh Ly, Ngoc Hoang Luong. 543-546 [doi]
• Smart Starts: Accelerating Convergence Through Uncommon Region ExplorationXinyu Zhang, Mário Antunes 0001, Tyler Estro, Erez Zadok, Klaus Mueller. 547-550 [doi]
• Towards Deep Optimization in Operations SchedulingLinus Danardya, Joshua D. Knowles, Richard Allmendinger 0001. 551-554 [doi]
• Generalizing the Structure of a University Timetabling Solver for Flexible Automatic Algorithm ConfigurationThomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci. 555-558 [doi]
• Evolutionary and Coevolutionary Multi-Agent Design Choices and DynamicsErik Hemberg, Stephen Moskal, Una-May O'Reilly, Eric Liu, Lucille Fuller. 559-562 [doi]
• Hierarchical Convergence to Multiple Alternate Solutions: Population versus Point-based AlgorithmsAhmer Khan, Kalyanmoy Deb. 563-566 [doi]
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• A Framework for Automatically Setting Multiple Penalty Weights in Quadratic Unconstrained Binary OptimizationJiajie Liu, Alberto Moraglio. 575-578 [doi]
• On the Generation of Diverse Solution Sets in a Tourist Trip Design Problem - An Experimental StudyBoris Pérez-Cañedo, Pavel Novoa-Hernández, David A. Pelta. 579-582 [doi]
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• Adaptive Reference Vectors Cooperate with Generalized Pareto Dominance for Irregular Many-objective ProblemsLiusheng Zeng, Yuchen Li, Jingxue Hu, Shuwei Zhu, Meiji Cui. 587-590 [doi]
• Embedding-Based Selection Operators for Genetic ProgrammingOumaima Bel Moudden, Rym Guibadj, Denis Robilliard, Cyril Fonlupt, Abdeslam Kadrani. 591-594 [doi]
• Geometric Semantic Genetic Programming for Evolving Real-Valued Functions with Order AwarenessKritpol Bunjerdtaweeporn, Alberto Moraglio. 595-598 [doi]
• Learning to Predict Code Review Rounds in Modern Code Review Using Multi-Objective Genetic ProgrammingMoataz Chouchen, Issam Oukhay, Ali Ouni 0001. 599-602 [doi]
• Kozax: Flexible and Scalable Genetic Programming in JAXSigur de Vries, Sander Wessel Keemink, Marcel Antonius Johannes van Gerven. 603-606 [doi]
• An empirical study on the feature selection ability of SLIM-GSGPDavide Farinati, Leonardo Vanneschi. 607-610 [doi]
• Data-Informed Model Complexity Metric for Optimizing Symbolic Regression ModelsNathan Haut, Zenas Huang, Adam Alessio. 611-614 [doi]
• A Symbolic Hessian-Based Approach for Assessing Model Complexity in Symbolic RegressionNathan Haut, Stuart Card, Mark E. Kotanchek. 615-618 [doi]
• Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output ExamplesJose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron, Jason H. Moore. 619-622 [doi]
• Generative Evolutionary Computation: An Automatic Gene Targeting Differential Evolution Via Genetic ProgrammingYi-Chao Huang, Xin-Xin Xu, Jian-Yu Li, Sam Kwong, Zhi-hui Zhan, Jun Zhang 0003. 623-626 [doi]
• Mutual Information-Based Evolutionary Feature Construction via Minimizing Redundancy and Maximizing RelevanceYunze Leng, Kei Sen Fong, Mehul Motani. 627-630 [doi]
• Heterosis-Based Crossover: Leveraging Structural Differences to Control Diversity and Bloat in Genetic ProgrammingLute Lillo, Nick Cheney. 631-634 [doi]
• Novel Application of Mutual Information in Transfer Learning for Genetic ProgrammingYilin Liu, Gareth A. Taylor, Zhengwen Huang. 635-638 [doi]
• Synergistic Hybridization of GP and DE: Innovations in Evolutionary ComputationRadomil Matousek, Tomas Hulka, Ladislav Dobrovsky, Miroslav Korenek. 639-642 [doi]
• Genetic Programming Algorithm with a Fast Logical Search for Analyzing Graph ContagionKrzysztof Michalak. 643-646 [doi]
• Program Trace Optimization for Language Model Search: the Abstraction and Reasoning Corpus caseAlberto Moraglio, Alberto Tonda. 647-650 [doi]
• Adaptive Multi-Tree Genetic Programming for Multiple Feature ConstructionJiaxin Niu, Xiaoying Gao, Minghui Bai, Jianbin Ma. 651-654 [doi]
• Comparing Data Transformation Techniques for System Identification With Standard Symbolic RegressionAlberto Tonda, Hengzhe Zhang, Qi Chen 0002, Bing Xue 0001, Mengjie Zhang 0001, Evelyne Lutton. 655-658 [doi]
• Learning Semantics-aware Search Operators for Genetic ProgrammingPiotr Wyrwinski, Krzysztof Krawiec. 659-662 [doi]
• Transformer-Guided Genetic Programming for Symbolic RegressionChao Xu, JunLan Dong, Yanqiao Lv, Jinghui Zhong. 663-666 [doi]
• Bi-Level Hybrid Genetic Algorithm Enhanced with Multiple Reinforcement Learning Methods for EV Charging SchedulingAbdennour Azerine, Mahmoud Golabi, Lhassane Idoumghar. 667-670 [doi]
• An LLM-Based Multi-Agent Framework for Evolutionary Blackbox OptimizationJill Baumann, Oliver Kramer 0001. 671-674 [doi]
• A Search Trajectory Networks Model to Understand iracePablo Estobar, Nicolás Rojas-Morales, Diana Gil-Silvestre, Gabriela Ochoa. 675-678 [doi]
• Rank-based Linear-Quadratic Surrogate Assisted CMA-ESMohamed Gharafi, Nikolaus Hansen, Rodolphe Le Riche, Dimo Brockhoff. 679-682 [doi]
• Genetic Programming Based Feature Construction for Automated Algorithm SelectionQingbin Guo, Handing Wang. 683-686 [doi]
• Boltzmann Machine Is Useful for Enhancing Search Performance of Ising MachinesSatoru Jimbo, Kazushi Kawamura. 687-690 [doi]
• Class Incremental Learning for Algorithm SelectionMate Botond Nemeth, Emma Hart, Kevin Sim, Quentin Renau. 691-694 [doi]
• Combining Feature Space Refinement and Outcome Accumulation Type Evolutionary Rule DiscoveryTomonori Obana, Kaoru Shimada. 695-698 [doi]
• A General Genetic Algorithm Using Natural Language Evolutionary OperatorsGerhard Stenzel, Sarah Gerner, Michael Kölle 0001, Maximilian Zorn, Thomas Gabor. 699-702 [doi]
• Ranking-prediction based evolutionary algorithm for expensive many-objective optimization problemsYimo Zhang, Shuwei Zhu, Wei Fang 0001, Kalyanmoy Deb, Meiji Cui. 703-706 [doi]
• Designing morphologies of soft medical devices using cooperative neuro coevolutionHugo Alcaraz-Herrera, Michail-Antisthenis I. Tsompanas, Igor Balaz, Andrew Adamatzky. 707-710 [doi]
• Exploring Multi-Modal Representations Based on an Improved Multi-Objective Optimization Algorithm for Molecular Property PredictionYaguo Dong, Meiling Xu, Lixin Tang. 711-714 [doi]
• Surrogate-Assisted Genetic Programming in Efficient Neural Architecture Search for Image SegmentationJosé Antonio Fuentes-Tomás, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, David Herrera-Sánchez. 715-718 [doi]
• Low Rank Factorizations are Indirect Encodings for Evolved Neural NetworksJack Garbus, Jordan Pollack. 719-722 [doi]
• Evolutionary Neural Architecture Search using Random Weight DistributionsSebastian Gregory Dal Toé, Bernard Tiddeman, Christine Zarges. 723-726 [doi]
• Closing the Optimization and Generalization Gap in Deep Learning with A Multi-Objective Evolutionary AlgorithmToki Tahmid Inan, Shahana Shultana, Amarda Shehu. 727-730 [doi]
• POMONAG: Pareto-Optimal Many-Objective Neural Architecture GeneratorEugenio Lomurno, Samuele Mariani, Matteo Monti, Matteo Matteucci. 731-734 [doi]
• Evolutionary Policy OptimizationZelal Su Mustafaoglu, Keshav Pingali, Risto Miikkulainen. 735-738 [doi]
• Evolving Swarm-Robotic Behavioral AllocationsAmeel Valjee, Bilal Aslan, Geoff Nitschke. 739-742 [doi]
• Improving Neural Architecture Search with Class Visualization and Bilevel Optimization for Imbalanced DataAlejandro Rosales-Pérez, Saúl Zapotecas Martínez, Carlos A. Coello Coello. 743-746 [doi]
• Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural NetworksFergal Stapleton, Daniel García-Núñez, Yanan Sun 0001, Edgar Galván. 747-750 [doi]
• Curriculum learning with a hierarchical cellular encodingGiacomo Vassallo, Eleni Nisioti, Joachim Winther Pedersen, Erwan Plantec, Milton Llera Montero, Sebastian Risi. 751-754 [doi]
• EM-NAS: A Cell-Based Evolutionary Multi-scale Neural Architecture Search for Medical Image SegmentationHanyu Zhang, Lixin Tang, Xiangman Song. 755-758 [doi]
• Finding Molecules with Specific Properties: Simulated Annealing vs. EvolutionSteven Alexander, Dominic Mashak. 759-762 [doi]
• A Local Search Deep Q-Network to Optimize On-Demand Tranportation ProblemsMariem Ayari, Sonia Nasri, Hend Bouziri, Wassila Aggoune-Mtalaa. 763-766 [doi]
• Advanced Techniques for Maximizing Demand Satisfaction in EV Charging SchedulingAbdennour Azerine, Mahmoud Golabi, Ammar Oulamara, Lhassane Idoumghar. 767-770 [doi]
• Evolutionary Level RepairDebosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis, Ahmed Khalifa 0001. 771-774 [doi]
• Utility-aware Social Network Anonymization using Genetic AlgorithmsSamuel Bonello, Rachel G. de Jong, Thomas H. W. Bäck, Frank W. Takes. 775-778 [doi]
• A Genetic Algorithm Framework for Jailbreaking Large Language ModelsLorenzo Bonin, Lorenzo Cusin, Andrea De Lorenzo, Mauro Castelli, Luca Manzoni. 779-782 [doi]
• Improving Continuous Coverage Path Planning through Subpath Selection and Multi-Objective Bilevel OptimizationLukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim. 783-786 [doi]
• Modified Non-dominated Sorting for Multi-Objective Data AnalysisRachel Ellen Brown, Qihao Shan, Sanaz Mostaghim. 787-790 [doi]
• The Segregated and Hybrid TBPSA algorithm with applications in SRF test pattern schedulingMarius-Octavian Bulhac, Eugen-Nicolae Croitoru. 791-794 [doi]
• Degree is Important: On Evolving Homogeneous Boolean FunctionsClaude Carlet, Marko Durasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek. 795-798 [doi]
• Multiobjective Ingredient Optimization for Recipe PlanningNga Man Chan, Julia Handl. 799-802 [doi]
• Search-based Inference of Class InvariantsJuan Manuel Copia, Facundo Molina, Alessandra Gorla, Nazareno Aguirre, Pablo Ponzio. 803-806 [doi]
• Improving Academic Plan Efficiency with Genetic Algorithm and Stochastic SimulationOliver Cuate, Roxana Torrijos, Lourdes Uribe. 807-810 [doi]
• Optimizing Wind Farm Project Assessments Using Genetic AlgorithmsItalo Firmino Da Silva, Telles B. Lazzarin, Lenon Schmitz, Alison R. Panisson. 811-814 [doi]
• A Two-step Approach to Find Short Compilation Transformation Sequences for Optimal Software Runtime PerformanceJuan Carlos de la Torre, José Miguel Aragón-Jurado, Javier Jareño, Bernabé Dorronsoro, Patricia Ruiz. 815-818 [doi]
• Interval-Tree based Multi-Objective 3D Bin Packing using Evolutionary Extreme Point HeuristicHermann Foot. 819-822 [doi]
• Evolving Macro-Actions for MCTS Video Game AgentsAndrew Gourley, Michael Dann, Xiaodong Li 0001, Fabio Zambetta. 823-826 [doi]
• A Novel Decomposition-Based Algorithm for Optimizing Demand-Side Response in Dynamic Economic Emission Dispatch Considering Gridable Vehicles ManagementHongda Guo, Chixin Xiao, Dechen Jiang, Maoxin He. 827-830 [doi]
• An LGBM-aided low-cost evoluationary algorithm for optimizing analog circuit sizingZongchen Han, Chunliang Zhao, Dunwei Gong, Jing Sun 0001. 831-834 [doi]
• Multi-objective Evolutionary Algorithm for Production Planning in Cold-RollingWeiyan Jia, Lixin Tang, Yang Yang 0180, Yun Dong 0001, Yanyan Zhang 0007. 835-838 [doi]
• Hiding Structure of Reconstructed Network from Subgraphs Using Evolutionary Multi-Objective OptimizationHirotaka Kaji, Toshihiro Tanizawa. 839-842 [doi]
• Evolutionary Ensemble for Prediction of Drifter Trajectories Using Weighted MajorityTae Hoon Kim, Seung-Hyun Moon, Yong-Hyuk Kim. 843-846 [doi]
• Comparing Modern Differential Evolution Variants in Multiobjective Cloud SchedulingPavel Krömer, Vojtech Uher. 847-850 [doi]
• Efficient Path Planning for Maritime Search and Rescue: A Surrogate-Assisted Memetic AlgorithmSojung Lee, Pablo Moscato, Yong-Hyuk Kim. 851-854 [doi]
• Balancing Metabolic Homeostasis and Enzyme Cost with Multi-Objective Evolutionary AlgorithmsArthur Lequertier, Alberto Tonda, Wolfram Liebermeister. 855-858 [doi]
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• Searching for Model Structures on Murine Neonatal Sepsis Data Using Genetic ProgrammingTabitha Lewis, Noemi Picco, Alma Rahat, Thomas Woolley, Peter Ghazal. 863-866 [doi]
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• Symbolic Regression for Modelling Decarbonisation Pathways in the Global Energy-Economy-Climate SystemJames McDermott, James Glynn, Iain Morrow, Evangelos Panos. 871-874 [doi]
• Evolving Financial Trading Strategies with Vectorial Genetic ProgrammingRui Menoita, Sara Silva. 875-878 [doi]
• Itemsets with Approximate Logistic Curve as Statistical BackgroundAkari Oda, Kaoru Shimada. 879-882 [doi]
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• Connected and Autonomous Shuttles for Optimal Passenger Transportation and Last-Mile Parcel DeliveryDaniel H. Stolfi, Elhadja Chaalal, Sébastien Faye. 907-910 [doi]
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• A Study on Morphological and Behavioral Adaptations from Multi-Task Morphoevolution by Voxel-based Soft RobotsAshwin V. A, Harish G. M, Jayadev D, Shunmuga Velayutham C. 2090-2098 [doi]
• A Path to Universal Neural Cellular AutomataGabriel Béna, Maxence Faldor, Dan F. M. Goodman, Antoine Cully. 2099-2107 [doi]
• On the Parallels Between Evolutionary Theory and the State of AIZeki Doruk Erden, Boi Faltings. 2108-2118 [doi]
• Time-Modulated Hebbian Learning for Classic Control TasksDaniel García-Núñez, Fergal Stapleton, Edgar Galván. 2119-2126 [doi]
• Evolvability in Rule-Making: A Self-Amendment Game Among LLM AgentsKazuya Horibe. 2127-2137 [doi]
• Morphology-Adaptive Muscle-Driven Locomotion via Attention MechanismsJunior Rojas. 2138-2142 [doi]
• Self-organized Swarm Reinforcement Learning under Spontaneous CommunicationsQihao Shan, Sanaz Mostaghim. 2143-2151 [doi]
• Self-Organizing Models of Brain Wiring: Developmental Programs for Evolving IntelligenceJamieson Warner, Risto Miikkulainen. 2152-2161 [doi]
• On Chromosome Crossover in Multimodal Adaptive Graph EvolutionCamilo De La Torre, Sylvain Cussat-Blanc, Hervé Luga, Dennis G. Wilson, Yuri Lavinas. 2162-2166 [doi]
• Linear Genetic Programming for Design Graph Neural Networks for Node ClassificationMaciej Krzywda, Szymon Lukasik, Amir H. Gandomi. 2167-2171 [doi]
• kLukas Plevac, Zdenek Vasícek. 2172-2176 [doi]
• Evolving Typed Token Processing NetworksBerfin Sakallioglu, Giorgia Nadizar, Luca Manzoni, Eric Medvet. 2177-2181 [doi]
• Grammatical Evolution for Temperature Prediction Models in Different Photovoltaic TechnologiesAlexander Cortés-Llanos, Lucía Serrano-Luján, Carlos Toledo, Antonio Urbina, J. Manuel Colmenar. 2182-2189 [doi]
• GRASP Metaheuristic for Energy-efficient Drone Coverage Path PlanningBárbara Cristina F. de Souza, Tarcísio Barroso Marques, José Elias Claudio Arroyo. 2190-2197 [doi]
• Nested Multi-objective Model Updating for an Aircraft Wingtail Digital TwinJake Hollins, Konstantinos Agathos, Tinkle Chugh. 2198-2205 [doi]
• Memory-Assisted Genetic Algorithm for Signal Timing Optimization in Traffic NetworksSahar Kianian, Edward C. Keedwell, Aidan Bennett. 2206-2214 [doi]
• Evolutionary Adaptive Stress Testing for Collision Avoidance in Sustainable Maritime TransportationThomas Steenfeldt Laursen, Ole Jakob Mengshoel. 2215-2223 [doi]
• A Hybrid Constrained Programming with Genetic Algorithm for the Job Shop Scheduling ProblemAlessandro Lorenzi, Stefano Genetti, Chiara Camilla Rambaldi Migliore, Marco Roveri, Giovanni Iacca. 2224-2232 [doi]
• Multi-objective Optimisation of Floating Offshore Wind Farms based on a Real-World Case StudyPawel L. Manikowski, David J. Walker, Matthew J. Craven. 2233-2241 [doi]
• Efficient Scheduling of Transformer Neural Network Computation for Edge-AI DeploymentDavid Sedlak, Jan Klhufek, Vojtech Mrazek, Zdenek Vasícek. 2242-2248 [doi]
• Why state differentiation in ACS2 is not enough in aliased environmentsMateusz Labedzki, Olgierd Unold. 2249-2257 [doi]
• How to Design an LCS to Create Explainable AI Models for Real-World ApplicationsMichael Heider. 2258-2260 [doi]
• A Proposal for a Leaner Narrative of Learning Classifier SystemsPier Luca Lanzi, Daniele Loiacono. 2261-2268 [doi]
• Dimensionality Reduction for Enabling Visual Reinforcement Learning with a Classifier SystemConnor Schönberner, Armin Mackensen, Sven Tomforde. 2269-2278 [doi]
• GPU-Accelerated Rule Evaluation and EvolutionHormoz Shahrzad, Risto Miikkulainen. 2279-2281 [doi]
• Evolving Modular Abstractions through Lateralized Learning in Classifier SystemsAbubakar Siddique, Muhammad Iqbal, Will N. Browne, Gina M. Grimshaw. 2282-2284 [doi]
• Algorithm Explainability for Malware Evolution with Search Trajectory NetworksKehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson. 2285-2293 [doi]
• Towards Benchmarking Multi-Objective Optimization Algorithms Based on the Basin ConnectivityRyosuke Ota, Likun Liu, Naoki Hamada, Takahiro Yamamoto, Shoichiro Tanaka, Daisuke Sakurai. 2294-2300 [doi]
• Visualising Adam Oscillations in Neural Network Loss LandscapesHenri van der Grijp, Anna S. Bosman, Katherine M. Malan. 2301-2308 [doi]
• LEAR: LLM-Driven Evolution of Agent-Based RulesCan Gurkan, Narasimha Karthik Jwalapuram, Kevin Wang, Rudy Danda, Leif Rasmussen, John Chen, Uri Wilensky. 2309-2326 [doi]
• Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular ControlNam H. Le, Patrick Erickson, Yanbo Zhang, Michael Levin 0001, Josh C. Bongard. 2327-2335 [doi]
• BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristicsNiki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bäck. 2336-2344 [doi]
• Regarding Context Size in LLM-Based Metaheuristic DesignAdam Viktorin, Michal Pluhacek, Jozef Kovác, Tomas Kadavy, Roman Senkerik. 2345-2353 [doi]
• Optimizing Photonic Structures with Large Language Model Driven Algorithm DiscoveryHaoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein. 2354-2362 [doi]
• LLM-Guided Evolution: An Autonomous Model Optimization for Object DetectionYiming Yu, Jason Zutty. 2363-2370 [doi]
• Low Rank Factorizations are Indirect Encodings for Deep NeuroevolutionJack Garbus, Jordan Pollack. 2371-2379 [doi]
• Unveiling the Search Space of Simple Contrastive Graph Clustering with Cartesian Genetic ProgrammingMaciej Krzywda, Yue Liu, Szymon Lukasik, Amir H. Gandomi. 2380-2383 [doi]
• Evaluating Encoding of Neuron Configuration and Position in Neuroevolution of Liquid State MachinesCarlos-Alberto López-Herrera, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes. 2384-2388 [doi]
• A Variational Quantum Algorithm for the Permutation Flow Shop Scheduling ProblemMarco Baioletti, Fabrizio Fagiolo, Angelo Oddi, Riccardo Rasconi. 2389-2395 [doi]
• On "Solving The Travelling Salesman Problem Using A Single Qubit" vs. Quantum Genetic Optimization: Are we there?Hamza Baniata. 2396-2402 [doi]
• The Quantum Approximate Optimization Algorithm Can Require Exponential Time to Optimize Linear FunctionsFrancisco Chicano, Zakaria Abdelmoiz Dahi, Gabriel Luque. 2403-2411 [doi]
• Steiner Traveling Salesman Problem with Quantum AnnealingAlessia Ciacco, Francesca Guerriero, Eneko Osaba. 2412-2418 [doi]
• Encoding Binary Comparison Constraints in QUBO for Quantum AnnealingPhilippe Codognet. 2419-2423 [doi]
• Manual vs. Automated QUBO Formulations for Flow Shop Scheduling: A Comparative Study on D-Wave and InfinityQYousra Farhani, Taha Arbaoui, Karima Benatchba. 2424-2432 [doi]
• Lookalike Clustering for Customer Segmentation: a Comparative Study of Quantum Annealing and Classical AlgorithmsBenedetta Ferrari, Giuseppe Gnocchi, Manuel Iori, Simone Mascaro, Mirko Mucciarini, Luca Rinaldi, Gianluigi Salerno, Vittorio Tartarini, Andrea Vezzani. 2433-2440 [doi]
• Quantum Annealing for Bi-objective Weighted Portfolio Optimization in Real-world Financial MarketsShu-Yu Kuo, Kun-Lin Lee, Yao-Hsin Chou, Jyun-Yi Shen, Sy-Yen Kuo. 2441-2448 [doi]
• Comparative Analysis of Classical and Quantum-Inspired Solvers: A Preliminary Study on the Weighted Max-Cut ProblemAitor Morais, Eneko Osaba, Iker Pastor, Izaskun Oregi. 2449-2457 [doi]
• Surrogate Model-Based Multi-Objective Optimization Using Desirability FunctionsThomas Bartz-Beielstein. 2458-2465 [doi]
• From 'How Good?' to 'Is it Better?': Classification-Based Surrogate Models for JADEKonrad Krawczyk, Jaroslaw Arabas. 2466-2471 [doi]
• Performance Benchmarking of Multi-Objective Surrogate-Assisted Evolutionary Algorithms on a Novel Computational Fluid Dynamics Test CaseBen Moore, Andrew Roberts, Daniel Jarman, Alma Rahat, Jonathan E. Fieldsend, Gavin R. Tabor. 2472-2480 [doi]
• Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine TransformationsShuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez 0001, Thomas Bäck, Hao Wang 0025. 2481-2490 [doi]
• A Novel Mesh Deformation Methodology for Computational Aerodynamic Shape OptimisationJoelle Salamoun, Ben Smith, Ben J. Evans, Sean Walton, Martin Dodds, Neil Taylor. 2491-2495 [doi]
• Automated Prediction of Compressor Performance Maps: Surrogate-Based Optimization with RNNs for Enhanced Extrapolation and InterpolationRichard Schulz, Alexander Hinterleitner, Noah Christoph Pütz, Jens Uwe Brandt, Matthias Müller, Thomas Bartz-Beielstein. 2496-2504 [doi]
• SCRBenchmark: A Benchmarking Library for Shape-Constrained RegressionFlorian Bachinger, Bernhard Werth, Jan Zenisek, Christian Haider, Fabrício Olivetti de França. 2505-2513 [doi]
• On the use of Hinge Loss as a Surrogate Fitness Function with Grammatical Evolution for Parkinson's Disease ClassificationJiajun Duan, Miguel Nicolau, Michael O'Neill 0001. 2514-2520 [doi]
• Rewarding Model Smoothness and Simplicity via Alternating Objectives in Symbolic RegressionNathan Haut, Mark E. Kotanchek. 2521-2528 [doi]
• Call for Action: towards the next generation of symbolic regression benchmarkGuilherme Seidyo Imai Aldeia, Hengzhe Zhang, Geoffrey F. Bomarito, Miles D. Cranmer, Alcides Fonseca, Bogdan Burlacu, William G. La Cava, Fabrício Olivetti de França. 2529-2538 [doi]
• A Hierarchical Multiview Symbolic Regression Method for Decoding Oceanic MetabolismHernan Lira, Luis Martí, Nayat Sánchez Pi. 2539-2547 [doi]
• Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?Fitria Wulandari Ramlan, Colm O'Riordan, Gabriel Kronberger, James McDermott. 2548-2555 [doi]
• Model Recovery in Symbolic Regression: Theory, Conjectures, and Open QuestionsErik-Jan Senn. 2556-2562 [doi]
• When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System IdentificationAlberto Tonda, Hengzhe Zhang, Qi Chen 0002, Bing Xue 0001, Mengjie Zhang 0001, Evelyne Lutton. 2563-2571 [doi]
• Continuous Pruning for Symbolic RegressionBernhard Werth, Michael Affenzeller. 2572-2579 [doi]
• Automated Generation of Trajectory-based Metaheuristics for Capacitated Vehicle RoutingPablo Contreras Estrada, Thomas Stützle, Leslie Pérez Cáceres. 2580-2583 [doi]
• LLM-aided Evolutionary Algorithms for Haiku GenerationVedant Dhaval Jobanputra, Basam Thilaknath Reddy, Sri Ganesh Bhojanapalli, Krishna Aditya S. V. S, Bagavathi Chandrasekara, Ritwik Murali. 2584-2587 [doi]
• Efficient Waste Collection Routing Using F-CVRP and Dynamic Parameter Optimization via Q-LearningYogesh Kumar, Prakhar Gupta, Karuna Panwar, Kusum Deep. 2588-2591 [doi]
• Efficient Pretrained Model for Surrogate-assisted High-Dimensional Expensive Multi-objective OptimizationJiajun Li, Shuwei Zhu, Wei Fang. 2592-2595 [doi]
• Evaluation of Sensitivity Analysis of Penalty Weights in QUBOJiajie Liu, Alberto Moraglio. 2596-2599 [doi]
• Towards Automated and Interpretable Decision Support Systems for Precision Livestock Farming Using Evolutionary ComputingElisabeth Mayrhuber, Stephan M. Winkler. 2600-2603 [doi]
• School Bus Routing for Pupils with Special Needs Under Uncertainty: An Averaging ApproachOzioma Paul, Julia Handl, Manuel López-Ibáñez 0001. 2604-2607 [doi]
• The Specificity vs. Expense Trade-Off of Multiagent CreditRaghav Thakar, Kagan Tumer. 2608-2611 [doi]
• Noise Resilient Quantum Circuit Design by Multi-Objective Genetic AlgorithmChristian Wood, Alberto Moraglio. 2612-2615 [doi]