Table of Contents

• AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics ScenariosDaan Apeldoorn, Alexander Dockhorn, Torsten Panholzer. 1-2 [doi]
• Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior KnowledgeXiang Shu, Yiyi Zhu, Renji Zhang, Xiang Xia, Bingdong Li, Hong Qian. 3-4 [doi]
• Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal OptimizationAli Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li 0001, Michael Epitropakis. 5-6 [doi]
• DynStack Competition - Dynamic Stacking Optimization in Uncertain EnvironmentsJohannes Karder, Sebastian Leitner, Bernhard Werth, Stefan Wagner 0002. 7-8 [doi]
• Key Strategies for Optimal PV System AllocationRui Qi, Ya-Hui Jia. 9-10 [doi]
• Interpretable Control CompetitionGiorgia Nadizar, Luigi Rovito, Dennis G. Wilson, Eric Medvet. 11-12 [doi]
• Machine Learning for Evolutionary Computation - the Vehicle Routing Problems CompetitionWeiyao Meng, Rong Qu, Nelishia Pillay. 13-14 [doi]
• A Reinforcement Learning-assisted Evolutionary Computing Approach to Capacitated Vehicle Routing with Time WindowsMuhammad Irtiza, Rudri Kalaria, A. S. M. Kayes. 15-16 [doi]
• Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time WindowsHa Minh Hieu, Hung Phan, Duc Chinh Tran, Duc Cuong Van, Dao Van Tung, Huynh Thi Thanh Binh. 17-18 [doi]
• DISH Solving the GNBG-generated Test SuiteAdam Viktorin, Michal Pluhacek, Tomas Kadavy, Jozef Kovác, Peter Janku, Roman Senkerik. 19-20 [doi]
• The Space Optimization Competition: Third EditionMax Bannach, Emmanuel Blazquez, Dario Izzo, Giacomo Acciarini, Alexander Hadjiivanov, Gernot Heißel, Rita Mastroianni, Sebastien Origer, Jai Grover, Dominik Dold, Zacharia Rudge. 21-22 [doi]
• A Review of Randomness Techniques in Deep Neural NetworksMohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl. 23-24 [doi]
• Improving Lexicase Selection with Informed Down-SamplingMartin Briesch, Ryan Boldi, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector. 25-26 [doi]
• Hot off the Press: The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization ProblemSacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger. 27-28 [doi]
• Evo-Panel: Dynamic Visualization Tool for Optimization ProcessYao-Hsin Chou, Cheng-Yen Hua, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo. 29-30 [doi]
• Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and ConstraintsRoy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb. 31-32 [doi]
• Hot off the Press: Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of NoiseMatthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will. 33-34 [doi]
• Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse PopulationsBenjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca. 35-36 [doi]
• Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered SplitsKei Sen Fong, Mehul Motani. 37-38 [doi]
• Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging (GECCO'24 Hot off the Press)Stefan Klikovits, Cédric Ho Thanh, Ahmet Cetinkaya, Paolo Arcaini. 39-40 [doi]
• Multiobjective Evolutionary Component Effect on Algorithm BehaviorYuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha. 41-42 [doi]
• Summary of "Curiosity creates Diversity in Policy Search"Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis Wilson. 43-44 [doi]
• Distributed Repair of Deep Neural Networks (Hot off the Press at GECCO 2024)Davide Li Calsi, Matias Duran, Xiao-Yi Zhang, Paolo Arcaini, Fuyuki Ishikawa. 45-46 [doi]
• Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase changeTomás Mauder, Jakub Kudela, Lubomír Klimes, Martin Zálesák, Pavel Charvát. 47-48 [doi]
• Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth FunctionsDaiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. 49-50 [doi]
• Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective OptimisationAndre Opris, Duc-Cuong Dang, Dirk Sudholt. 51-52 [doi]
• Combining Online Learning with Mutation-Based Stochastic Search to Repair Buggy ProgramsJoseph Renzullo, Westley Weimer, Stephanie Forrest. 53-54 [doi]
• Model-based Gradient Search using the Plackett-Luce modelValentino Santucci, Josu Ceberio. 55-56 [doi]
• Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation BudgetsLinas Stripinis, Jakub Kudela, Remigijus Paulavicius. 57-58 [doi]
• Hot off the Press: Towards Practical Preferential Bayesian Optimization with Skew Gaussian ProcessesShion Takeno, Masahiro Nomura, Masayuki Karasuyama. 59-60 [doi]
• Feature Attribution Explanation Based on Multi-Objective Evolutionary LearningZiming Wang, Changwu Huang, Xin Yao 0001. 61-62 [doi]
• A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)Simon Wietheger, Benjamin Doerr. 63-64 [doi]
• A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]Hengzhe Zhang, Qi Chen 0002, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang 0001. 65-66 [doi]
• Hot off the Press: Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many ObjectivesWeijie Zheng 0001, Benjamin Doerr. 67-68 [doi]
• Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective OptimizationWeijie Zheng 0001, Benjamin Doerr. 69-70 [doi]
• How to Use the Metropolis Algorithm for Multi-Objective Optimization?Weijie Zheng 0001, Mingfeng Li, Renzhong Deng, Benjamin Doerr. 71-72 [doi]
• Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature DetectionJeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski. 73-74 [doi]
• Utilising Quantum Hybrid Solver for Bi-objective Quadratic Assignment ProblemsMayowa Ayodele. 75-76 [doi]
• Exploring the use of fitness landscape analysis for understanding malware evolutionKehinde O. Babaagba, Ritwik Murali, Sarah Thomson. 77-78 [doi]
• Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight OptimizationPawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek. 79-80 [doi]
• Towards Target Derivatives-Enhanced Continued Fraction RegressionGuillaume Briffoteaux, Andrew Ciezak, Pablo Moscato. 81-82 [doi]
• Exploring the Improvement of Evolutionary Computation via Large Language ModelsJinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei. 83-84 [doi]
• A decision space variable topology feature visualization and clustering method for Dynamic Multi-objective OptimizationMin Chen, Yanyan Zhang. 85-86 [doi]
• Energy Consumption Analysis of Batch Runs of Evolutionary AlgorithmsCarlos Cotta, Jesús Martínez-Cruz. 87-88 [doi]
• Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation PlanningCarlos Cotta. 89-90 [doi]
• Evolving Potential Fields for Rules of the Road Compliant Ship DrivingKorben Diarchangel, Liam Francisco, Jude Koenig, Sushil Louis. 91-92 [doi]
• Generalization of the Heavy-Tailed Mutation in the (1+(λ, λ)) Genetic AlgorithmAnton Eremeev, Valentin Topchii. 93-94 [doi]
• A Memetic Algorithm for Deployment of Search and Rescue UnitsSeung-Yeol Hong, Yong-Hyuk Kim. 95-96 [doi]
• The Easiest Hard Problem: Now Even EasierRuben Horn, Sarah L. Thomson, Daan van den Berg, Pieter Adriaans. 97-98 [doi]
• Bi-objective approach for lot-sizing problem in cold rolling production planningWeiyan Jia, Lixin Tang, Yang Yang, Yun Dong. 99-100 [doi]
• Trackable Island-model Genetic Algorithms at Wafer ScaleMatthew Andres Moreno, Connor Yang, Emily L. Dolson, Luis Zaman. 101-102 [doi]
• Bayesian Optimization with Setup Switching CostStefan Pricopie, Richard Allmendinger 0001, Manuel López-Ibáñez 0001, Clyde Fare, Matt Benatan, Joshua D. Knowles. 103-104 [doi]
• Coupling Temporal Convolutional Networks with Anomaly Detection and CMA-ES for the Electricity Price ForecastingBogdan Ruszczak. 105-106 [doi]
• Modeling and Optimization of Energy Consumption in Data-driven Factory Air Conditioning SystemNing Sun, Shuwei Zhu. 107-108 [doi]
• Parallel Co-Evolutionary Algorithm and Implementation on CPU-GPU MulticoreZhuoran Sun, Ying-Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram. 109-110 [doi]
• Surrogate Modeling in Efficient Evolutionary Multiobjective Clustering AlgorithmNan Sun, Shuwei Zhu. 111-112 [doi]
• Online Feature Subset Selection in Streaming Features by Parallel Evolutionary AlgorithmsVivek Yelleti, Vadlamani Ravi, P. Radha Krishna 0001. 113-114 [doi]
• Enhancing Graph Cut Search through a Surrogate-Assisted Genetic Algorithm with Edge-Based EncodingSeo-Ah Yu, Yong-Hyuk Kim. 115-116 [doi]
• Joint Entropy Enhanced Multi-objective Bayesian Optimization for Graph PruningWeiwei Zhang, Meiling Xu, Lixin Tang. 117-118 [doi]
• Towards an Improved Understanding of Features for More Interpretable Landscape AnalysisMarcus Gallagher, Mario A. Muñoz. 135-138 [doi]
• Searching for Benchmark Problem Instances from Data-Driven OptimisationSara Hajari, Marcus Gallagher. 139-142 [doi]
• Comparing Solvability Patterns of Algorithms across Diverse Problem LandscapesAna Nikolikj, Tome Eftimov. 143-146 [doi]
• Extending Instance Space Analysis to Algorithm Configuration SpacesAnthony Rasulo, Kate Smith-Miles, Mario A. Muñoz, Julia Handl, Manuel López-Ibáñez 0001. 147-150 [doi]
• Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation ProblemQuentin Renau, Johann Dréo, Emma Hart. 151-154 [doi]
• Multi-objective Ranking using Bootstrap ResamplingJeroen Rook, Holger H. Hoos, Heike Trautmann. 155-158 [doi]
• Learning to Generate Scalable MILP InstancesTianxing Yang, Huigen Ye, Hua Xu. 159-162 [doi]
• A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationYifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng. 163-166 [doi]
• Generating Diverse Critics for Conditioned Policy DistillationRyan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis. 167-170 [doi]
• Solving Deceptive Problems Without Explicit Diversity MaintenanceRyan Boldi, Li Ding 0010, Lee Spector. 171-174 [doi]
• Growing Artificial Neural Networks for Control: the Role of Neuronal DiversityEleni Nisioti, Erwan Plantec, Milton Montero, Joachim Winther Pedersen, Sebastian Risi. 175-178 [doi]
• Looking for Complexity at Phase Boundaries in Continuous Cellular AutomataVassilis Papadopoulos, Guilhem Doat, Arthur Renard, Clément Hongler. 179-182 [doi]
• Enhancing Electric Vehicle Charging Schedules: A Surrogate-Assisted ApproachAbdennour Azerine, Mahmoud Golabi, Ammar Oulamara, Lhassane Idoumghar. 183-186 [doi]
• Memetic Algorithm for Multi-objective Virtual Network Slice ConfigurationQinan Chen, Qiqi Xia, Kaixuan Sun, Jin Wang, Bo Yuan. 187-190 [doi]
• Local Search Algorithms for the Oven Scheduling ProblemFrancesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, Felix Winter. 191-194 [doi]
• Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural NetworksOlivier Goudet, Adrien Goëffon, Frédéric Saubion, Sébastien Vérel. 195-198 [doi]
• Symmetry Parallel Search Strategy For Permutation-related Optimization ProblemsTianyang Li, Ying Meng, Lixin Tang. 199-202 [doi]
• Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time WindowsTri Phan, Khang Tran, Ngoc Hoang Luong. 203-206 [doi]
• A Secure Simulation-optimisation Framework for Fleet Mix Problem: A Defence-based Real-world ApplicationSara Salim, Ismail Ali, Sondoss ElSawah. 207-210 [doi]
• Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of TrianglesXavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel. 211-214 [doi]
• "A Cooperative Multi Indicator-Based Ant Colony Optimization Algorithm for the MOGenConVRP"Rodrigo Fernando Velázquez Cruz, Carlos Ignacio Hernández Castellanos. 215-218 [doi]
• Distributed Ensemble Hyper-Heuristic Algorithm for Aircraft Arrival Sequencing and Scheduling ProblemXian-ping Wang, Xin-Xin Xu, Yi Jiang, Sheng Bi, Yan-Chun Liang, Zhi-hui Zhan. 219-222 [doi]
• Adapted Ant Colony Optimization for Large-Scale Orienteering ProblemDe Ming Wu, Qiang Yang, Changjun Zhou, Zhonglong Zheng, Jun Zhang. 223-226 [doi]
• Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization AlgorithmVivek Yelleti, Vadlamani Ravi, P. Radha Krishna 0001. 227-230 [doi]
• PEACH: A Multi-Objective Evolutionary Algorithm for Complex Vehicle Routing with Three-Dimensional Loading ConstraintsHan Zhang, Qing Li, Xin Yao. 231-234 [doi]
• Randomized Local Search on the 2D Rectangular Bin Packing Problem with Item RotationRui Zhao, Tianyu Liang, Zhize Wu, Daan van den Berg, Matthias Thürer, Thomas Weise 0001. 235-238 [doi]
• Efficient Edge Computing: Harnessing Compact Machine Learning Models for Workload OptimizationMohammad Reza Pour-Hosseini, Mahdi Abbasi, Bahman Javadi, Seifeddine Benelghali, Hassan Haghighi, Ehsan Mohammadi Pasand, Parham Moradi. 239-242 [doi]
• LLM-POET: Evolving Complex Environments using Large Language ModelsFuma Aki, Riku Ikeda, Takumi Saito, Ciaran Regan, Mizuki Oka. 243-246 [doi]
• Intepretable Local Explanations Through Genetic ProgrammingHayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei 0001. 247-250 [doi]
• Exploring Evolutionary Generators within Generative Adversarial NetworksFrancisco Baeta, João Correia 0001, Tiago Martins, Penousal Machado. 251-254 [doi]
• Evolutionary Data Subset Selection for Class-Incremental Learning on Memory-Constrained SystemsEpifanios Baikas, Danesh Tarapore, David Thomas. 255-258 [doi]
• Towards an Evolutionary Approach for Exploting Core Knowledge in Artificial IntelligenceAndrea Calabrese, Stefano Quer, Giovanni Squillero, Alberto Tonda. 259-262 [doi]
• Multi-Criterion Feature Selection Based on Clustering Symbolic RegressionYehang Chen, Yu Zhang, Xinyue Li, Wang Hu. 263-266 [doi]
• Multidimensional Archive Of The State SpaceJoshua Cook, Kagan Tumer. 267-270 [doi]
• Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature SelectionKaan Demir, Bach Nguyen, Bing Xue 0001, Mengjie Zhang 0001. 271-274 [doi]
• Generalizing Diversity with the Signature TransformArno Feiden, Biagio Paparella, Jochen Garcke. 275-278 [doi]
• Lexidate: Model Evaluation and Selection with LexicaseJose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore. 279-282 [doi]
• Shifting Color Space for Image Classification using Genetic ProgrammingDavid Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Aldo Márquez-Grajales. 283-286 [doi]
• Behaviour Discovery in Real-Time Strategy Games using Cooperative Co-evolution with Dynamic Binary Tree DecompositionLuke Kelly, Martin Masek, Chiou Peng Lam. 287-290 [doi]
• Evolving Visual Counterfactual Medical Imagery Explanations with Cooperative Co-evolution using Dynamic DecompositionLuke Kelly, Martin Masek, Chiou Peng Lam, Brandon Abela, Ashu Gupta. 291-294 [doi]
• Efficient Pruning of DenseNet via a Surrogate-Model-Assisted Genetic AlgorithmJingeun Kim, Yourim Yoon. 295-298 [doi]
• Onboard Class Incremental Learning for Resource-Constrained scenarios using Genetic Algorithm and TinyMLSuraj Kumar Pandey, Shivashankar B. Nair. 299-302 [doi]
• Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set LearningDavid Pätzel, Richard Nordsieck, Jörg Hähner. 303-306 [doi]
• Immuno-inspired Selective Aggregation for Decentralized Federated Deep Reinforcement LearningGayathri Rangu, Shivashankar B. Nair. 307-310 [doi]
• Time-varying Echo State Networks: Harnessing Dynamic Parameters for Robust Time-Series AnalysisNabangshu Sinha, Carlo Lucheroni. 311-314 [doi]
• Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-MakingFumito Uwano, Will Neil Browne. 315-318 [doi]
• ATOMIC: an Interpretable Clustering Method Based on Data TopologyMatthew Vandergrift, Ting Hu. 319-322 [doi]
• An Improved Evolutionary Reinforcement Learning Algorithm for UAV Online Target TrackingBai-Jiang Yu, Feng-Feng Wei, Tai-You Chen, Wei-neng Chen. 323-326 [doi]
• Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective OptimizationYuheng Zhou, Haopu Shang, Yu-Chang Wu, Chao Qian 0001. 327-330 [doi]
• Many-Objective Evolutionary Optimization using Density Peaks Scoring Selection StrategySiamak Ghodsi, Sahar Tahmasebi, Mahdi Jalili, Parham Moradi. 331-334 [doi]
• Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial PopulationJuan Carlos Gómez-López, Daniel Castillo-Secilla, Jesús González 0001. 335-338 [doi]
• Lower Confidence Bound for Preference Selection in Interactive Multi-Objective OptimizationArash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt. 339-342 [doi]
• A Multi-objective Evolutionary Algorithm based on Hierarchical Grouping for Large-scale Multi-objective OptimizationQingwei Liang, Shu-Chuan Chu, Pei-Cheng Song, Jia Zhao 0001, Zne-Jung Lee, Jeng-Shyang Pan 0001. 343-346 [doi]
• Visualization of Multiobjective Multimodal Benchmarking Based on Basin ConnectivityLikun Liu, Ryosuke Ota, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai. 347-350 [doi]
• Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set LearningRuitao Mai, Yifeng Qiu, Wenji Li, Zhaojun Wang, Biao Xu, Wei Chen, Jiafan Zhuang, Yun Li, Zhun Fan. 351-354 [doi]
• Redefining the Behavior Space for Multi-Objective MAP-ElitesAnna Nickelson, Kagan Tumer. 355-358 [doi]
• Multi-Objective Evolution for Chemical Product DesignGeoff Nitschke, Bilal Aslan, Flávio S. Corrêa da Silva. 359-362 [doi]
• Composite Quality Indicators to Evaluate the Performance of Population-based Multiobjective Optimization AlgorithmsRubén Saborido, Ana Belen Ruiz, Sandra González-Gallardo, Mariano Luque, Antonio Borrego. 363-366 [doi]
• Simple Distributed Bit Climber for Many-objective Optimization of Binary Epistatic ProblemsYudai Tagawa, Hernán E. Aguirre, Kiyoshi Tanaka. 367-370 [doi]
• Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective OptimisationKendall Peter Taylor, Huong Ha, Minyi Li 0001, Xiaodong Li 0001, Jeffrey Chan. 371-374 [doi]
• Interactive tool for visualizing the comprehensive performance of evolutionary multi-objective algorithms applied to problems with two or three objectivesMichal Tomczyk, Milosz Kadzinski. 375-378 [doi]
• A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective ProblemsXueqing Wang, Jinhua Zheng, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yuan Liu. 379-382 [doi]
• How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective FunctionsYutaro Yamada, Kento Uchida, Shinichi Shirakawa. 383-386 [doi]
• Multi-population for Multi-objective Genetic Algorithm with Adaptive Information Sharing Strategy for Berth Allocation and Quay Crane Assignment ProblemsWanqiu Zhao, Qi Qiu, Hong Zhao, Xu Bian, He Yu, Jing Liu, Xuesong Mei. 387-390 [doi]
• A Competitive Swarm Algorithm Based on Tri-Competitive Criterion for Constrained Multiobjective OptimizationJinlong Zhou, Yinggui Zhang, Fan Yu. 391-394 [doi]
• The Optimal Zone Breadth for Parallel and Distributed MOEA/D with Virtual Overlap Zone and Exclusively Evaluated MatingXinyuan Zhu, Yuji Sato, Mikiko Sato. 395-398 [doi]
• Differential Evolution based on Local Grid Search for Multimodal Multiobjective Optimization with Local Pareto FrontsJuan Zou, Tianbin Xie, Qi Deng, Xiaozhong Yu, Shengxiang Yang, Jinhua Zheng. 399-402 [doi]
• TransOptAS: Transformer-Based Algorithm Selection for Single-Objective OptimizationGjorgjina Cenikj, Gasper Petelin, Tome Eftimov. 403-406 [doi]
• Algorithm Performance Comparison for Integer-Valued OneMaxXiaoyue Li, Timo Kötzing. 407-410 [doi]
• Sensitivity Analysis of Surrogate-assisted Bilevel OptimisationBehzad Moradi, Michael Kirley, Mario Andrés Muñoz Acosta. 411-414 [doi]
• A Combination of CMA-ES with Probability Distributions of Integer Variables for Mixed-Integer Black-Box OptimizationDuc Manh Nguyen. 415-418 [doi]
• On Generalization of ELA Feature GroupsGasper Petelin, Gjorgjina Cenikj. 419-422 [doi]
• A Gradient-based Method for Differential Evolution Parameter Control by SmoothingHaotian Zhang, Jialong Shi, Jianyong Sun, Ali Wagdy Mohamed, ZongBen Xu. 423-426 [doi]
• Accelerating Co-Evolutionary Learning Through Phylogeny-Informed Interaction EstimationJack Garbus, Thomas Willkens, Alexander Lalejini, Jordan Pollack. 427-430 [doi]
• Hypernetwork-Based Multi-Objective Optimization with NSGA-IIJie He, Yaohong Zhang, Ji Wang, Xiaoqing Li 0006, Weidong Bao 0001. 431-434 [doi]
• Revisiting Evolutionary Algorithms for Optimization for Deep Learning: Introducing DL-HEA: EAs for Optimization for Deep LearningToki Tahmid Inan, Amarda Shehu. 435-438 [doi]
• EMxDesign: A Genetic Algorithm for High Affinity Drug DesignNeha Jain, Andrew Hornback, May Dongmei Wang. 439-442 [doi]
• Evolving Weighted and Directed Graphs with Constrained PropertiesSydney Leither, Vincent R. Ragusa, Emily L. Dolson. 443-446 [doi]
• Investigating Structural Bias in Real-Coded Genetic AlgorithmsKanchan Rajwar, Yogesh Kumar, Kusum Deep. 447-450 [doi]
• Implicit Symbolic Regression via Probabilistic FitnessGraham Roberts, Everett Grethel, Qian Yang. 451-454 [doi]
• Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network PerspectiveYudong Yang, Kai Wu 0003, Xiangyi Teng, Handing Wang, He Yu, Jing Liu 0006. 455-458 [doi]
• An Empirical Study of Constrained Evolutionary Algorithms for Isomorphic Connected Graph Segmentation ProblemsFeng Zhuang, Ting Huang, He Yu, Jing Liu. 459-462 [doi]
• Dynamic Quality-Diversity SearchRoberto Gallotta, Antonios Liapis, Georgios N. Yannakakis. 463-466 [doi]
• A Meta-Evolutionary Algorithm for Co-evolving Genotypes and Genotype / Phenotype MapsNathan Gaylinn, Joshua Bongard. 467-470 [doi]
• Deficiencies of Best-chromosome-wins Dominance in Evolutionary Optimization of Stationary FunctionsMaciej Komosinski, Marcin Leszczynski, Konrad Miazga, Dawid Siera. 471-474 [doi]
• Morpho-Material Evolution for Automated Robot DesignGeoff Nitschke, Bilal Aslan. 475-478 [doi]
• Variable Contribution-Based Differential Evolution for Large-Scale Global OptimizationErjie Tian, Xin Zhang, Pengjiang Qian, Wei Fang 0001, Jian Yao 0005. 479-482 [doi]
• Adaptive Immune Optimization Algorithm: Combining Mutual Information and Differential Evolution-based Mutation for Local Feature Selection on Microarray DataYi Wang, Wenshan Li, Tao Li. 483-486 [doi]
• A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program SynthesisRyan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini. 487-490 [doi]
• Greedy Strategies to Improve Phased Genetic Programming When Applied Directly to the Traveling Salesman ProblemDarren M. Chitty, Ed Keedwell. 491-494 [doi]
• Fast Self-Learning of Turbulence Feedback Laws Using Gradient-Enriched Machine Learning ControlGuy Y. Cornejo Maceda, Zhutao Jiang, François Lusseyran, Bernd R. Noack. 495-498 [doi]
• Multimodal Adaptive Graph EvolutionCamilo De La Torre, Kévin Cortacero, Sylvain Cussat-Blanc, Dennis Wilson. 499-502 [doi]
• Archive-based multiple feature construction methods using adaptive Genetic ProgrammingKaixuan Jia, Jianbin Ma, Xiaoying Gao, Jiaxin Niu. 503-506 [doi]
• Introducing vectorized cluster crossover in Grammatical EvolutionMichal Kowalczykiewicz, Piotr Lipinski. 507-510 [doi]
• Runtime phylogenetic analysis enables extreme subsampling for test-based problemsAlexander Lalejini, Marcos Sanson, Jack Garbus, Matthew Andres Moreno, Emily L. Dolson. 511-514 [doi]
• Dynamically Sampling biomedical Images For Genetic ProgrammingYuri Lavinas, Nathaniel Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc. 515-518 [doi]
• Multi-objective multi-population Genetic Programming for feature selection and classification to high-dimensional dataQiaoman Li, Xiaoying Gao, Wenyang Meng, Jianbin Ma. 519-522 [doi]
• EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series ForecastingJared Murphy, Devroop Kar, Joshua Karns, Travis Desell. 523-526 [doi]
• A Comparison of Feature Engineering Techniques for Hearing LossMiguel Rabuge, Nuno Lourenço 0002. 527-530 [doi]
• Feature Encapsulation by Stages Using Grammatical EvolutionDarian Reyes Fernández de Bulnes, Allan de Lima, Aidan Murphy, Douglas Mota Dias, Conor Ryan. 531-534 [doi]
• Designing Black-Box Optimizers with PushGPVladimir Stanovov. 535-538 [doi]
• Synergistic Utilization of LLMs for Program SynthesisDavid Vella Zarb, Geoffrey T. Parks, Timoleon Kipouros. 539-542 [doi]
• Multi-task Genetic Programming with Semantic based Crossover for Multi-output RegressionChunyu Wang, Qi Chen 0002, Bing Xue 0001, Mengjie Zhang 0001. 543-546 [doi]
• A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing ProblemShaolin Wang, Yi Mei 0001, Mengjie Zhang 0001. 547-550 [doi]
• Guiding Genetic Programming with Graph Neural NetworksPiotr Wyrwinski, Krzysztof Krawiec. 551-554 [doi]
• Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image ClassificationTuo Zhang, Ying Bi, Jing Liang 0005, Bing Xue 0001, Mengjie Zhang 0001. 555-558 [doi]
• Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization ProblemsHanan Alsouly, Michael Kirley, Mario Andrés Muñoz. 559-562 [doi]
• Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving GeneralizationCarolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer. 563-566 [doi]
• Mining Potentially Explanatory Patterns via Partial SolutionsGiancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie. 567-570 [doi]
• Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box OptimizationPeter Korosec, Tome Eftimov. 571-574 [doi]
• Evolution Transformer: In-Context Evolutionary OptimizationRobert T. Lange, Yingtao Tian, Yujin Tang. 575-578 [doi]
• Large Language Models As Evolution StrategiesRobert Lange, Yingtao Tian, Yujin Tang. 579-582 [doi]
• Final Productive Fitness for Surrogates in Evolutionary AlgorithmsMaximilian Zorn, Sarah Gerner, Philipp Altmann, Thomas Gabor. 583-586 [doi]
• Quality Diversity for Robot Learning: Limitations and Future DirectionsSumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme. 587-590 [doi]
• Analysis of Pruned Deep Models Trained with NeuroevolutionFederico Da Rold, Leo Cazenille, Nathanaël Aubert-Kato. 591-594 [doi]
• Generational Information Transfer with Neuroevolution on Control TasksMaximilien Le Clei, Stav Bar-Sheshet, Pierre Bellec. 595-598 [doi]
• A Cooperative Coevolution Neural Architecture Search Approach for Evolving Convolutional Neural NetworksTrevor Londt, Xiaoying Gao, Yi Mei 0001. 599-602 [doi]
• Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural NetworksBrandon Morgan, Dean Hougen. 603-606 [doi]
• AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection frameworkMarcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wójcik. 607-610 [doi]
• Improved Brain Tumor Segmentation Using Modified U-Net based on Particle Swarm Optimization Image EnhancementShoffan Saifullah, Rafal Drezewski. 611-614 [doi]
• Satellite Image based Crop Classification Using Convolutional AutoencoderAswitha Tadepalli, Kishalay Mitra. 615-618 [doi]
• Exploring Layerwise Adversarial Robustness Through the Lens of t-SNEInês Valentim, Nuno Antunes, Nuno Lourenço 0002. 619-622 [doi]
• Survival Strategies for Evolutionary Role Mining Algorithms Using Expert KnowledgeSimon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim. 623-626 [doi]
• Gene-level adaptation in Balanced Non-Dominated Tournament Genetic Algorithm (aB-NTGA) applied to versatile Multi-Stage Weapon-Target Assignment ProblemMichal Antkiewicz, Pawel B. Myszkowski, Konrad Gmyrek. 627-630 [doi]
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• Evolutionary Algorithm with Cross-Generation Environmental Selection for Traveling Salesman ProblemZi Yang Bo, Qiang Yang, Ya-Hui Jia, Xu-Dong Gao 0003, Zhen Yu Lu, Jun Zhang. 635-638 [doi]
• On the Evolution of Boolean Functions with the Algebraic Normal Form RepresentationClaude Carlet, Marko Durasevic, Domagoj Jakobovic, Stjepan Picek. 639-642 [doi]
• An Enhanced Surrogate-Assisted Multi-Objective Differential Evolution Algorithm with Self-Adaptive Strategies for Order Planning in Hot Rolling Process: Surrogate-Assisted MODE with Self-Adaptive Strategies for OPHR ProblemGelegen Che, Lixin Tang, Guodong Zhao, Qingxin Guo, Jianqiang Guo. 643-646 [doi]
• An Optimised Light Gradient Boosting Machine Model for Setup Time Prediction in Electronic Production LinesSiping Chen, Debiao Li, Xiqin Gan, Raymond Chiong. 647-650 [doi]
• Solving Indefinite Communication Reliability Optimization for RIS-Aided Mobile Systems by an Improved Differential EvolutionTrinh Van Chien, Bui Trong Duc, Ho Viet Duc Luong, Huynh Thi Thanh Binh, Hien Quoc Ngo, Symeon Chatzinotas. 651-654 [doi]
• Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and TimeElia Cunegatti, Leonardo Lucio Custode, Giovanni Iacca. 655-658 [doi]
• Evolution of Material Properties and Gripping Strategy in Soft Robotic Jamming DevicesSeth G. Fitzgerald, Sarah Baldwin, Gary W. Delaney, David Howard, Frédéric Maire. 659-662 [doi]
• Dynamic Evaluation Functions Based Routing and Wavelength Assignment Optimization for Optical Network Capacity ExpansionYu Fu. 663-666 [doi]
• LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty SearchJinyue Guo, Anna-Maria Christodoulou, Balint Laczko, Kyrre Glette. 667-670 [doi]
• Decomposition and Clustering-Based Many-Objective Optimization for Multi-Label Feature SelectionSomayeh Kanani, Parham Moradi, Mahdi Jalili. 671-674 [doi]
• Evolutionary Ensemble for Predicting Drifter Trajectories Based on Genetic Feature SelectionTae Hoon Kim, Seung-Hyun Moon, Yong-Hyuk Kim. 675-678 [doi]
• A Memetic Algorithm to Identify Search Patterns for Maximal Coverage of Drifting Oceanic ParticlesSo-Jung Lee, Yong-Hyuk Kim. 679-682 [doi]
• Evolutionary Algorithm Based Adaptive Image AnonymizationArcadi Llanza, Nadiya Shvai, Amir Nakib. 683-686 [doi]
• A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power MicroprocessorZhongtian Luo, Jianpeng Xiong, Hu Peng, Gaosheng Zhan, Qingfu Zhang 0001, Hui Wang, Xinyu Zhou, Wei Li, Ying Huang. 687-690 [doi]
• Exploring Evolution for Aesthetic & Abstract 3D ArtRitwik Murali, Veeramanohar Avudaiappan. 691-694 [doi]
• Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral ImagesBogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa. 695-698 [doi]
• Generating Solvable and Difficult Logic Grid PuzzlesFiona Shyne, Kaylah Facey, Seth Cooper. 699-702 [doi]
• Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic AlgorithmsAgata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa. 703-706 [doi]
• Exploring a Small Molecule Property Prediction Model with Optimal Comprehensive Performance through Multi-Objective Optimization AlgorithmsJunfeng Zhao, Lixin Tang, Yong Shuai. 707-710 [doi]
• Dynamic Difficulty Coefficient in Search-Based Software Testing: Targeting to Hard Branch CoverageThi Mai Anh Bui, Van-Tri Do, Minh Vu Le, Quoc Trung Bui. 711-714 [doi]
• A Multi-Objective Genetic Algorithm for Location in Interaction TestingRyan Edward Dougherty, Dylan Nathan Green, Hyunmook Kang, Grace Miro Kim, Stephanie Forrest. 715-718 [doi]
• Local Search-based Approach for Cost-effective Job Assignment on Large Language ModelsYueyue Liu, Hongyu Zhang, Van-Hoang Le, Yuantian Miao, Zhiqiang Li. 719-722 [doi]
• Evolving Assembly Code in an Adversarial EnvironmentIrina Maliukov, Gera Weiss, Oded Margalit, Achiya Elyasaf. 723-726 [doi]
• Large Language Models as All-in-one Operators for Genetic ImprovementGudny Birna Saemundsdottir, Saemundur Oskar Haraldsson. 727-730 [doi]
• Enhancing Fault Detection in Smart Contract Loops Through Adaptive Probabilistic SamplingStuart D. Semujju, Fangqing Liu, Han Huang 0002, Yi Xiang. 731-734 [doi]
• Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter OptimizationIndu Bala, Dikshit Chauhan, Lewis Mitchell. 735-738 [doi]
• A new Hybrid Parameter Independent Particle Swarm Optimization AlgorithmPiotr Dziwiñski. 739-742 [doi]
• Particle Swarm Optimization with Unfeasible Personal Best for Constrained ProblemsSo Fukuhara, Masao Arakawa. 743-746 [doi]
• Matrix-Based Ant Colony OptimizationXu Li, Min Cao, Jian-Yu Li, Jing Xu, Jun Zhang 0003, Zhi-hui Zhan. 747-750 [doi]
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• Tensorized Ant Colony Optimization for GPU AccelerationLuMing Yang, Tao Jiang, Ran Cheng. 755-758 [doi]
• Linear Genetic ProgrammingWolfgang Banzhaf, Ting Hu 0001. 759-771 [doi]
• Bayesian OptimizationJuergen Branke, Sebastian Rojas-Gonzalez, Ivo Couckuyt. 772-790 [doi]
• Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofilerCarola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck. 791-799 [doi]
• A Gentle Introduction to Theory (for Non-Theoreticians)Benjamin Doerr. 800-829 [doi]
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• Evolutionary Reinforcement LearningManon Flageat, Bryan Lim, Antoine Cully. 856-882 [doi]
• New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External ArchiveHisao Ishibuchi, Lie Meng Pang, Ke Shang. 883-902 [doi]
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• Introduction to Quantum OptimizationAlberto Moraglio, Francisco Chicano. 946-972 [doi]
• Using Large Language Models for Evolutionary SearchUna-May O'Reilly, Erik Hemberg. 973-983 [doi]
• Landscape Analysis of Optimisation Problems and AlgorithmsGabriela Ochoa, Katherine M. Malan. 984-1004 [doi]
• Transfer Learning in Evolutionary SpacesNelishia Pillay. 1005-1016 [doi]
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• Generative Hyper-heuristicsDaniel R. Tauritz, John R. Woodward. 1069-1095 [doi]
• Model-Based Evolutionary AlgorithmsDirk Thierens, Peter A. N. Bosman. 1096-1126 [doi]
• Next Generation Genetic Algorithms - efficient crossover and local search and new results on crossover latticesL. Darrell Whitley. 1127-1157 [doi]
• Evolutionary Computation for Feature Selection and Feature ConstructionBing Xue, Mengjie Zhang 0001. 1158-1186 [doi]
• A Deep Dive into Robust Optimization Over Time: Problems, Algorithms, and BeyondDanial Yazdani, Xin Yao 0001. 1187-1196 [doi]
• Genetic Improvement: Taking real-world source code and improving it using computational search methodsAlexander Edward Ian Brownlee, Saemundur O. Haraldsson, John Robert Woodward, Markus Wagner 0007. 1197-1230 [doi]
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• Evolutionary Computation meets Machine Learning for Combinatorial OptimisationYi Mei, Günther Raidl. 1328-1351 [doi]
• Evolutionary computation for stochastic problemsFrank Neumann 0001, Aneta Neumann, Hemant Kumar Singh. 1352-1368 [doi]
• Instance Space Analysis and Item Response Theory for Algorithm TestingKate Smith-Miles, Mario Andrés Muñoz, Sevvandi Kandanaarachchi. 1369-1390 [doi]
• Theory and Practice of Population Diversity in Evolutionary ComputationDirk Sudholt, Giovanni Squillero. 1391-1409 [doi]
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• Correlation-based Analysis of the Influence of Bound Constraint Handling Methods on Population Dynamics in Differential EvolutionMadalina-Andreea Mitran. 1502-1510 [doi]
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• Analyzing the Runtime of the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) on the Concatenated Trap FunctionYukai Qiao, Marcus Gallagher. 1520-1526 [doi]
• Explaining Automatically Designed Software Defined Perimeters with a Two Phase Evolutionary Computation SystemJames Gunder Frazier, Thomas Helmuth. 1527-1535 [doi]
• Dynamic Constrained Multiobjective Algorithm Based on Feasible Region PredictionZhiye Guo, Jingxuan Wei, Binhao Liang, Fengqin Liang. 1536-1543 [doi]
• Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic PredictionAlex G. C. de Sá, David B. Ascher. 1544-1553 [doi]
• Dynamic Neural Architecture Search for Image ClassificationMia Gerber, Nelishia Pillay. 1554-1562 [doi]
• Tightening the Approximation Error of Adversarial Risk with Auto Loss Function SearchPengfei Xia, Ziqiang Li 0001, Bin Li 0025. 1563-1572 [doi]
• Explaining evolutionary feature selection via local optima networksJason Adair, Sarah L. Thomson, Alexander E. I. Brownlee. 1573-1581 [doi]
• Drawing Attributions From Evolved CounterfactualsJan Jakubik, Halina Kwasnicka. 1582-1589 [doi]
• Explaining Session-based Recommendations using Grammatical EvolutionPiotr Lipinski, Klaudia Balcer. 1590-1597 [doi]
• Explaining instances in the health domain based on the exploration of a dataset's hardness embeddingMaria Gabriela Valeriano, João Luiz Junho Pereira, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena. 1598-1606 [doi]
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• On Search Trajectory Networks for Graph Genetic ProgrammingCamilo De La Torre, Sylvain Cussat-Blanc, Dennis Wilson, Yuri Lavinas. 1681-1685 [doi]
• Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series ForecastingJared Murphy, Travis Desell. 1686-1690 [doi]
• Byron: A Fuzzer for Turing-complete Test ProgramsGiovanni Squillero, Alberto Tonda, Dimitri Masetta, Marco Sacchet. 1691-1694 [doi]
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• Improving the Efficiency Of Genetic Programming for Classification Tasks Using a Phased ApproachDarren M. Chitty. 1702-1705 [doi]
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• A User-Guided Generation Framework for Personalized Music Synthesis Using Interactive Evolutionary ComputationYanan Wang, Yan Pei, Zerui Ma, JianQiang Li. 1762-1769 [doi]
• Learning Classifier Systems as a Solver for the Abstraction and Reasoning CorpusCameron Coombe, David Howard, Will Browne. 1770-1778 [doi]
• A Closer Look at Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set LearningDavid Pätzel, Richard Nordsieck, Jörg Hähner. 1779-1787 [doi]
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