Table of Contents

• Optimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution AlgorithmAnsel Y. Rodríguez González, Ángel Díaz-Pacheco, Ramón Aranda, Miguel Ángel Álvarez Carmona, Yoan Martínez López, Julio Madera. 1-2 [doi]
• Efficient Vehicle Routing Problem: A Machine Learning and Evolutionary Computation ApproachPratyay Mukherjee, Ramanathan A, Sawvranu Dey. 3-4 [doi]
• An Ant Colony Algorithm Assisted by Graph Neural Networks for Solving Vehicle Routing ProblemsXiangyu Wang, Yaochu Jin. 5-6 [doi]
• Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time WindowsPeng Yue, Shiqing Liu, Yaochu Jin. 7-8 [doi]
• A Feature-Free Approach to Automated Algorithm SelectionMohamad Alissa, Kevin Sim, Emma Hart. 9-10 [doi]
• Fast Genetic Algorithm for feature selection - A qualitative approximation approachMohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi. 11-12 [doi]
• SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through soundTasos Asonitis, Richard Allmendinger 0001, Matt Benatan, Ricardo Climent. 13-14 [doi]
• Hot off the Press: A First Runtime Analysis of the NSGA-II on a Multimodal ProblemBenjamin Doerr, Zhongdi Qu. 15-16 [doi]
• Hot off the Press: From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower BoundsBenjamin Doerr, Zhongdi Qu. 17-18 [doi]
• Hot off the Press: Runtime Analysis for the NSGA-II - Provable Speed-Ups From CrossoverBenjamin Doerr, Zhongdi Qu. 19-20 [doi]
• Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and AdaptabilityKei Sen Fong, Shelvia Wongso, Mehul Motani. 21-22 [doi]
• Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23)Max Hort, Rebecca Moussa, Federica Sarro. 23-24 [doi]
• Impact of Boundary Control Methods on Bound-constrained Optimization BenchmarkingTomas Kadavy, Adam Viktorin, Anezka Kazikova, Michal Pluhacek, Roman Senkerik. 25-26 [doi]
• Incremental Recursive Ranking Grouping - A Decomposition Strategy for Additively and Nonadditively Separable ProblemsMarcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka, Krzysztof Walkowiak. 27-28 [doi]
• Discovering Evolution Strategies via Meta-Black-Box OptimizationRobert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu 0001, Satinder Singh 0001, Sebastian Flennerhag. 29-30 [doi]
• Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainabilityRobert Tjarko Lange, Henning Sprekeler. 31-32 [doi]
• Classifier-based evolutionary multiobjective optimization for the graph protection problem: Hot-off-the-Press Track at GECCO 2023Krzysztof Michalak. 33-34 [doi]
• Tag Affinity Criteria Influence Adaptive EvolutionMatthew Andres Moreno, Alexander Lalejini, Charles Ofria. 35-36 [doi]
• MEG: Multi-objective Ensemble Generation for Software Defect Prediction (HOP GECCO'23)Rebecca Moussa, Giovani Guizzo, Federica Sarro. 37-38 [doi]
• Enhancing Siamese Neural Networks for Multi-class Classification: An Immuno-inspired approachSuraj Kumar Pandey, Shivashankar B. Nair. 39-40 [doi]
• Neuroevolution Trajectory Networks: revealing the past of incrementally neuroevolved CNNsStefano Sarti. 41-42 [doi]
• Multi-Step-Ahead Web Service QoS Time Series Forecasting: A Multi-Predictor-Based Genetic Programming ApproachYang Syu, Yong-Yi Fanjiang. 43-44 [doi]
• A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing ProblemsHao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao 0001. 45-46 [doi]
• On the Preferences of Quality Indicators for Multi-Objective Search Algorithms in Search-Based Software Engineering (Hot Off the Press track at GECCO 2023)Jiahui Wu, Paolo Arcaini, Tao Yue 0002, Shaukat Ali 0001, HuiHui Zhang. 47-48 [doi]
• Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue 0001, Mengjie Zhang 0001. 49-50 [doi]
• Optimizing Telemetry Signal Influence for Power Consumption PredictionPawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek. 51-52 [doi]
• Parallel Cooperative Memetic Co-evolution for VRPTWMiroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa. 53-54 [doi]
• Hardware design of a model generator based on grammars and cartesian genetic programming for blood glucose predictionJorge Cano, José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares. 55-56 [doi]
• Estimation of Interstitial Glucose from physical activity measures using Grammatical EvolutionCarlos Cervigón, José Ignacio Hidalgo. 57-58 [doi]
• Tackling Adversarial Faults in Panmictic Evolutionary AlgorithmsCarlos Cotta. 59-60 [doi]
• Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill ClimbingFrancesca Da Ros, Luca Di Gaspero. 61-62 [doi]
• Tree-Based Grammatical Evolution with Non-Encoding NodesMarina de la Cruz López, Oscar Garnica, José Ignacio Hidalgo. 63-64 [doi]
• Evolutionary Algorithms: A new hope for the future of music teachingFrancisco Fernández de Vega, Jorge Alvarado 0003, Abel Sánchez, Manuel Serrano, Elia Pacioni. 65-66 [doi]
• Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem DimensionalityKevin Carrie Graham, Sarah Louise Thomson, Alexander Edward Ian Brownlee. 67-68 [doi]
• Towards Benchmarking of Pathfinding Algorithms in Path-Influenced EnvironmentsJulia Heise, Jens Weise, Sanaz Mostaghim. 69-70 [doi]
• Genetic Algorithm-based Feature Selection for Machine Learning System Diagnosing Sarcopenia with Survey DataJaehyeong Lee, Yoon Choi, Yourim Yoon. 71-72 [doi]
• Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical EvolutionDaniel Parra, Alberto Gutiérrez-Gallego, José Manuel Velasco, Rafael-Jacinto Villanueva, José Ignacio Hidalgo. 73-74 [doi]
• Evolutionary configuration of the Temporal Convolutional Network for the electricity price predictionBogdan Ruszczak. 75-76 [doi]
• Reducing high-dimensional feature set of hyperspectral measurements for plant phenotype classificationBogdan Ruszczak. 77-78 [doi]
• Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot ConnectionsJakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa. 79-80 [doi]
• Toward Symbolic Regression based Model Transform for Convolutional Neural NetworkKisung Seo, Seok-Beom Roh, Soonyong Gwon. 81-82 [doi]
• Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least SquaresFergal Stapleton, Edgar Galván. 83-84 [doi]
• Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic FlowKhoa Huu Tran, Luc Truong, An Vo, Ngoc Hoang Luong. 85-86 [doi]
• Development of forked divergence particle swarm optimizationSo Fukuhara, Masao Arakawa. 87-90 [doi]
• Ant Colony Optimization with Pre-exploration of Outliers for TSPHaoyu Meng, Jinglei Guo, Zeyuan Shi. 91-94 [doi]
• Evolving Herding Behaviour Diversity in Robot SwarmsGeoff Nitschke, Scott Hallauer, Emma Hart. 95-98 [doi]
• Do Random and Chaotic Sequences Really Cause Different PSO Performance?Paul Moritz Nörenberg, Hendrik Richter 0001. 99-102 [doi]
• A Novel Approach for Texture Defect Detection using Statistical Features and a Bio-Inspired AlgorithmRahul S. Sharma, Venkatanareshbabu Kuppili. 103-106 [doi]
• Diversity-driven Multi-population Particle Swarm Optimization for Dynamic Optimization ProblemPei-Yao Zhu, Sheng-Hao Wu, Ke-Jing Du, Hua Wang, Jun Zhang, Zhi-hui Zhan. 107-110 [doi]
• Multi-Task Multi-Behavior MAP-ElitesTimothée Anne, Jean-Baptiste Mouret. 111-114 [doi]
• Promoting Originality in Online Swarm RoboticsAmine M. Boumaza. 115-118 [doi]
• A Memetic Algorithm to solve the Robust Influence Maximization Problems against Cascading FailuresShun Cai, Shuai Wang, Zhaoxi Ou. 119-122 [doi]
• Fast Collective Decision-Making without Prior KnowledgeNicolas Cambier, Eliseo Ferrante. 123-126 [doi]
• Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular AutomataBert Wang-Chak Chan. 127-130 [doi]
• Many-objective Optimization via Voting for ElitesJackson Dean, Nick Cheney. 131-134 [doi]
• Using Evolutionary Computation to Find Parameters that Promote Egalitarian Major Evolutionary TransitionsMax Foreback, Sydney Leither, Emily L. Dolson. 135-138 [doi]
• Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout ProblemsJuliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi. 139-142 [doi]
• Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent EnvironmentsGautier Hamon, Eleni Nisioti, Clément Moulin-Frier. 143-146 [doi]
• Drivers of Replicator Organisation in the Nanopond Artificial ChemistrySimon J. Hickinbotham. 147-150 [doi]
• Diversity Search for the Generation of Diverse Grasping TrajectoriesJohann Huber, Oumar Sane, Miranda Coninx, Faïz Ben Amar, Stéphane Doncieux. 151-154 [doi]
• Fast generation of centroids for MAP-ElitesJean-Baptiste Mouret. 155-158 [doi]
• Inequality and the Emergence of Social StratificationGeoff Nitschke, Brandon Gower-Winter. 159-162 [doi]
• Coping with seasons: evolutionary dynamics of gene networks in a changing environmentCsenge Petak, Lapo Frati, Melissa Helen Pespeni, Nick Cheney. 163-166 [doi]
• Controllable Exploration of a Design Space via Interactive Quality DiversityKonstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis. 167-170 [doi]
• Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free LearningSimón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully. 171-174 [doi]
• The Struggle for Existence: Time, Memory and BloatJohn Stevenson. 175-178 [doi]
• Prompt-Guided Level GenerationShyam Sudhakaran, Miguel González Duque, Claire Glanois, Matthias Freiberger, Elias Najarro, Sebastian Risi. 179-182 [doi]
• A Simple and Efficient Heuristic for Reducing Vulnerability of Complex Networks to Malicious Link AttacksMarco Tomassini. 183-186 [doi]
• Neighbor-Hop Mutation for Genetic Algorithm in Influence MaximizationAviral Chawla, Nick Cheney. 187-190 [doi]
• Exploring the Potential of JuLeS: A White Box Framework for Local Search MetaheuristicsFrancesca Da Ros, Luca Di Gaspero. 191-194 [doi]
• Adaptive Particle Swarm Optimization with Local Search for Multi-robot Multi-point Dynamic AggregationShihao Dai, Ya-Hui Jia, Wei-neng Chen, Yi Mei 0001. 195-198 [doi]
• Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean FunctionsMarko Durasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek. 199-202 [doi]
• Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility PredictionThomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci. 203-206 [doi]
• A Distributed Multilevel Memetic Algorithm for Signed Graph ClusteringFelix Hausberger, Marcelo Fonseca Faraj, Christian Schulz 0003. 207-210 [doi]
• A Hybrid BRKGA for Joint Scheduling Production, Transport, and Storage/Retrieval in Flexible Job ShopsSeyed Mahdi Homayouni, Dalila B. M. M. Fontes, Fernando A. C. C. Fontes. 211-214 [doi]
• Simulated Annealing Algorithm for the Bounded Diameter Minimum Spanning Tree ProblemLi Hong, Yiwen Zhong, Juan Lin. 215-218 [doi]
• Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary AlgorithmsAhmer Khan, Kalyanmoy Deb. 219-222 [doi]
• Applying an evolutionary algorithm to compare fix and flex grid technologies in new generation optical networksStanislaw Kozdrowski, Pawel Krysztofik. 223-226 [doi]
• AutoQUBO v2: Towards Efficient and Effective QUBO Formulations for Ising MachinesJustin Pauckert, Mayowa Ayodele, Marcos Diez García, Serban Georgescu, Matthieu Parizy. 227-230 [doi]
• A Diploid Genetic Algorithm for Solving the Multidimensional Multi-way Number Partitioning ProblemAdrian Petrovan, Petrica C. Pop, Cosmin Sabo, Oliviu Matei. 231-234 [doi]
• An Evolutionary Strategy for Automatic Hypotheses Generation inspired by Abductive ReasoningRoberto Pietrantuono. 235-238 [doi]
• Variable neighborhood search for solving the k-domination problemMilan Predojevic, Aleksandar Kartelj, Marko Djukanovic. 239-242 [doi]
• Training Agents for Unknown Logistics ProblemsElisa Schmidt, Matthias Becker 0002. 243-246 [doi]
• On the Global Structure of PUBOi Fitness LandscapesSara Tari, Gabriela Ochoa, Matthieu Basseur, Sébastien Vérel. 247-250 [doi]
• MNDE: Node-depth encoding can do better in evolutionary multitask algorithmsCong Dao Tran, Anh Do Tuan, Huynh Thi Thanh Binh, Anh Do Duc, Bang Ban Ha, Su Nguyen Phan Bach. 251-254 [doi]
• Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small InstancesShuaixiang Zhang, Hao Tong, Jialin Liu, Xin Yao. 255-258 [doi]
• An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic ProgrammingFangfang Zhang, Yi Mei, Mengjie Zhang. 259-262 [doi]
• Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image ClassificationMuhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar. 263-266 [doi]
• Improved Multi-Objective Data Stream Clustering with Time and Memory OptimizationMohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah. 267-270 [doi]
• Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution StrategiesVictor Costa, Nuno Lourenço 0002, João Correia, Penousal Machado. 271-274 [doi]
• Learning Behavior Trees by Evolution-Inspired ApproachesChuanshuai Deng, Chenjing Zhao, Zhenghui Liu, Jiexin Zhang, Yunlong Wu, Yanzhen Wang, Hong Cheng, Xiaodong Yi 0002. 275-278 [doi]
• Overcoming Deceptive Rewards with Quality-DiversityArno Feiden, Jochen Garcke. 279-282 [doi]
• Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examplesAdam Handke, Damian Józwiak, Piotr Kaminski, Michal Wisniewski, Milosz Kadzinski. 283-286 [doi]
• A Parallelized Genitor II Implementation For Training Semiring Neural NetworksOlena Horokh, Martin Böhm, Thomas Schmid. 287-290 [doi]
• From Random Forest to an interpretable decision tree - An evolutionary approachKrzysztof Jurczuk, Marcin Czajkowski, Marek Kretowski. 291-294 [doi]
• Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary SearchAndrei Kucharavy, Matteo Monti, Rachid Guerraoui, Ljiljana Dolamic. 295-298 [doi]
• Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based ProblemsYi Liu, Yu Cui, Will N. Browne, Bing Xue 0001, Wen Cheng, Yong Li, Lingfang Zeng. 299-302 [doi]
• Comparison of MCMC Adaptation Schemes: A Preliminary Empirical StudyBowen Liu, Edna Milgo, Nixon K. Ronoh, Bernard Manderick. 303-306 [doi]
• Simultaneous Evolutionary Optimization of Features Subset and Clusters NumberJosé David Martín-Fernández, Beatriz Pontes, José C. Riquelme. 307-310 [doi]
• Assessing the Generalizability of a Performance Predictive ModelAna Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov. 311-314 [doi]
• Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling ProblemsRobbert Reijnen, Yingqian Zhang 0001, Zaharah Allah Bukhsh, Mateusz Guzek. 315-318 [doi]
• Multiobjective coevolutionary training of Generative Adversarial NetworksGuillermo Ripa, Agustín Mautone, Andrés Vidal, Sergio Nesmachnow, Jamal Toutouh. 319-322 [doi]
• Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image ClassificationAbubakar Siddique, Muhammad Iqbal 0001, Shahab Din, Will N. Browne. 323-326 [doi]
• Evolution Strategies with Seed Mirroring and End TournamentSean Soleyman, Joshua Fadaie, Fan H. Hung, Deepak Khosla. 327-330 [doi]
• LCT-DER: Learning Classifier Table with Dynamic-Sized Experience Replay for Run-time SoC Performance-Power OptimizationAnmol Surhonne, Florian Maurer 0003, Thomas Wild, Andreas Herkersdorf. 331-334 [doi]
• Hierarchical Frames-of-References in Learning Classifier SystemsFumito Uwano, Will N. Browne. 335-338 [doi]
• Optimized hybrid imbalanced data sampling for decision tree trainingWeronika Wegier, Michal Koziarski, Michal Wozniak 0001. 339-342 [doi]
• Knowledge Shaped Behavior Generation for Online AdaptationConnor Yates, Kagan Tumer. 343-346 [doi]
• Two-point Crossover Operator in Genetic Algorithm for Deep Learning CompilerTianyi Zhou, Wei Fang. 347-350 [doi]
• Evolution of an Internal Reward Function for Reinforcement LearningWeiyi Zuo, Joachim Winther Pedersen, Sebastian Risi. 351-354 [doi]
• A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary AlgorithmsTobias Benecke, Oliver Antons, Sanaz Mostaghim, Julia C. Arlinghaus. 355-358 [doi]
• Mastering Stochastic Partially Observable Asymmetrical Multi-Agent Game with Rolling Horizon Evolution AlgorithmJames Chao, Lance Nakamoto. 359-362 [doi]
• Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup TimesRunxin Han, Junqing Li, Xiumei Xiao. 363-366 [doi]
• An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective OptimizationDaniel Herring, Michael Kirley, Xin Yao 0001. 367-370 [doi]
• On-line Quick Hypervolume AlgorithmAndrzej Jaszkiewicz, Piotr Zielniewicz. 371-374 [doi]
• Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty SearchYuzi Jiang, Danilo Vasconcellos Vargas. 375-378 [doi]
• Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network DataMiguel León Ortiz, Tijana Markovic, Sasikumar Punnekkat. 379-382 [doi]
• Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle ResultsZimin Liang, Miqing Li, Per Kristian Lehre. 383-386 [doi]
• Multi-Surrogate Assisted PSO with Multiple Exemplars for Expensive Multimodal Multi-Objective OptimizationZhiming Lv, Shuqin Li, Hongguang Sun, Hongming Zhang. 387-390 [doi]
• A Cluster-Based Multiobjective Optimization Algorithm for VRPSTW with Salary BalanceYi Mao, Jingjing Li, Na Tang. 391-394 [doi]
• Evolutionary Neural Networks for Livestock Disease PreventionKrzysztof Michalak, Mario Giacobini. 395-398 [doi]
• A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective SubproblemsYusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi. 399-402 [doi]
• An adaptive sparse large-scale multiobjective evolutionary algorithmFeiyue Qiu, Huizhen Hu, Jin Ren, Liping Wang, Qicang Qiu. 403-406 [doi]
• A Preference-based Activity Scheduling Algorithm Using Many-objective OptimizationMarkus Rothkötter, Sanaz Mostaghim. 407-410 [doi]
• Diffusely Distributed Parallelization of MOEA/D with Edge Weight Vectors SharingYuji Sato, Mads A. Midtlyng, Mikiko Sato. 411-414 [doi]
• A multi-policy sequence-based selection hyper-heuristic for multi-objective optimizationMichele Urbani, Francesco Pilati. 415-418 [doi]
• A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective OptimizationShi-Ting Wang, Jin-hua Zheng, Juan Zou, Yuan Liu, Sheng-Xiang Yang, Yingjie Zou. 419-422 [doi]
• High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference VectorsKai Eivind Wu, George Panoutsos. 423-426 [doi]
• Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic SchedulingMeng Xu, Yi Mei 0001, Fangfang Zhang 0003, Mengjie Zhang 0001. 427-430 [doi]
• Surrogate-Assisted NSGA-II Algorithm for Expensive Multiobjective OptimizationMouadh Yagoubi, Hiba Bederina. 431-434 [doi]
• Extending MOEA/D to Constrained Multi-objective Optimization via Making Constraints an Objective FunctionYusuke Yasuda, Kenichi Tamura, Keiichiro Yasuda. 435-438 [doi]
• Evolutionary Algorithms for Segment Optimization in Vectorial GPPhilipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller. 439-442 [doi]
• Computational and Exploratory Landscape Analysis of the GKLS GeneratorJakub Kudela, Martin Juricek. 443-446 [doi]
• Utilizing the Expected Gradient in Surrogate-assisted Evolutionary AlgorithmsKei Nishihara 0001, Masaya Nakata. 447-450 [doi]
• Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer ProblemsRaphael Patrick Prager, Heike Trautmann. 451-454 [doi]
• Deep BIAS: Detecting Structural Bias using Explainable AIBas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova. 455-458 [doi]
• Optimization of MFCCs for Time Signature Detection Using Genetic AlgorithmJeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski. 459-462 [doi]
• Solving the Multitasking Robust Influence Maximization Problem on Networks using a Multi-factorial Evolutionary AlgorithmMinghao Chen, Shuai Wang, Shun Cai. 463-466 [doi]
• Automated algorithm composition of unsupervised image clustering algorithmsMia Gerber, Nelishia Pillay. 467-470 [doi]
• Relational Bayesian Optimization for PermutationBo-Wei Huang, Wen Zhong Fang, Hsu Chen Liao, Tian-Li Yu. 471-474 [doi]
• Performance Comparison of Steady State GAs and Generational GAs for Capacitated Vehicle Routing ProblemsJosé Quevedo, Maximilian Jakob Heer, Marwan F. Abdelatti, Resit Sendag, Manbir Sodhi. 475-478 [doi]
• On the Effect of Temporal Heterogeneity on Selection Pressure of Evolutionary AlgorithmsVictor Manuel Sanchez Sanchez, Carlos Gershenson Garcia, Carlos Ignacio Hernandez Castellanos. 479-482 [doi]
• Towards Self-Adjusting Weighted Expected Improvement for Bayesian OptimizationCarolin Benjamins, Elena Raponi, Anja Jankovic 0001, Carola Doerr, Marius Lindauer. 483-486 [doi]
• An information-theoretic evolutionary algorithmArnaud Berny. 487-490 [doi]
• Revealing the Inner Dynamics of Evolutionary Algorithms with Convection SelectionMaciej Komosinski, Konrad Miazga. 491-494 [doi]
• Comparing Algorithm Selection Approaches on Black-Box Optimization ProblemsAna Kostovska, Anja Jankovic 0001, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr. 495-498 [doi]
• Performance Analysis of Hybrid Sampling and Meta-heuristicsRyan Dieter Lang, Andries Petrus Engelbrecht. 499-502 [doi]
• AbCD: A Component-wise Adjustable Framework for Dynamic Optimization ProblemsAlexandre Mascarenhas, Yuri Cossich Lavinas, Claus Aranha. 503-506 [doi]
• Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal OptimizationOle Jakob Mengshoel, Xavier F. C. Sánchez-Díaz, Fredrik Foss. 507-510 [doi]
• Re-Evaluating Algorithm Variations Using Empirical SimilarityJair Pereira Junior, Claus Aranha. 511-514 [doi]
• DoE2Vec: Deep-learning Based Features for Exploratory Landscape AnalysisBas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause 0001, Markus Gitterle, Thomas Bäck. 515-518 [doi]
• ELEA - Build your own Evolutionary Algorithm in your BrowserMarkus Wagner 0007, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing. 519-522 [doi]
• Automated design of relocation rules for minimising energy consumption in the container relocation problemMarko Durasevic, Mateja Dumic, Rebeka Coric, Francisco Javier Gil Gala. 523-526 [doi]
• The Problem Solving Benefits of Down-sampling Vary by Selection SchemeRyan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini. 527-530 [doi]
• A Static Analysis of Informed Down-SamplesRyan Boldi, Alexander Lalejini, Thomas Helmuth, Lee Spector. 531-534 [doi]
• On the Trade-Off between Population Size and Number of Generations in GP for Program SynthesisMartin Briesch, Dominik Sobania, Franz Rothlauf. 535-538 [doi]
• A Comparison of Structural Complexity Metrics for Explainable Genetic ProgrammingKarina Brotto Rebuli, Mario Giacobini, Sara Silva, Leonardo Vanneschi. 539-542 [doi]
• Taylor Polynomial Enhancer using Genetic Programming for Symbolic RegressionChi-Hsien Chang, Tu-Chin Chiang, Tzu-Hao Hsu, Ting-Shuo Chuang, Wen Zhong Fang, Tian-Li Yu. 543-546 [doi]
• Phased Genetic Programming for Application to the Traveling Salesman ProblemDarren M. Chitty, Ed Keedwell. 547-550 [doi]
• Fighting Underspecification in Symbolic Regression with Fitness SharingFabricio Olivetti De Franca. 551-554 [doi]
• Leap Mapping: Improving Grammatical Evolution for Modularity ProblemsAllan de Lima, Samuel Carvalho, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan. 555-558 [doi]
• Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rulesMarko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic. 559-562 [doi]
• GP with Ranging-Binding Technique for Symbolic RegressionWen Zhong Fang, Chi-Hsien Chang, Jung-Chun Liu, Tian-Li Yu. 563-566 [doi]
• DistilSR: A Distilled Version of Gene Expression Programming Symbolic RegressionKei Sen Fong, Mehul Motani. 567-570 [doi]
• An analysis of choice functions for Fuzzy ART using grammatical evolutionMia Gerber, Nelishia Pillay. 571-574 [doi]
• An analysis of training models to evolve heuristics for the travelling salesman problemFrancisco Javier Gil Gala, Marko Durasevic, Mateja Dumic, Rebeka Coric, Domagoj Jakobovic. 575-578 [doi]
• LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic RegressionNikola Gligorovski, Jinghui Zhong. 579-582 [doi]
• A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption OptimizationPo-Wei Harn, Bo Hui, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, Wei-Shinn Ku. 583-586 [doi]
• Active Learning Informs Symbolic Regression Model Development in Genetic ProgrammingNathan Haut, Bill Punch, Wolfgang Banzhaf. 587-590 [doi]
• Towards a General Boolean Function Benchmark SuiteRoman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck. 591-594 [doi]
• Iterative Structure-Based Genetic Programming for Neural Architecture SearchRahul Kapoor, Nelishia Pillay. 595-598 [doi]
• Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature ExtractorsRachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore. 599-602 [doi]
• Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation DiscoveryMikhail Maslyaev, Alexander Hvatov. 603-606 [doi]
• Error and Correlation as fitness functions for Scaled Symbolic Regression in Grammatical EvolutionAidan Murphy, Allan de Lima, Douglas Mota Dias, Conor Ryan. 607-610 [doi]
• The Influence of Probabilistic Grammars on EvolutionJessica Mégane, Nuno Lourenço 0002, Penousal Machado, Dirk Schweim. 611-614 [doi]
• Evolving Nonlinear Multigrid Methods With Grammar-Guided Genetic ProgrammingDinesh Parthasarathy, Jonas Schmitt, Harald Köstler. 615-618 [doi]
• Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient DescentGloria Pietropolli, Federico Julian Camerota Verdù, Luca Manzoni, Mauro Castelli. 619-622 [doi]
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