Abstract is missing.
- ib on jump functions: ant colony optimizers can cope well with local optimaRiade Benbaki, Ziyad Benomar, Benjamin Doerr. 4-13 [doi]
- Ants can solve the parallel drone scheduling traveling salesman problemQuoc Trung Dinh, Duc Dong Do, Minh Hoàng Hà. 14-21 [doi]
- The paradox of choice in evolving swarms: information overload leads to limited sensingCalum C. Imrie, J. Michael Herrmann, Olaf Witkowski. 22-30 [doi]
- Stasis type particle stability in a stochastic model of particle swarm optimizationTomasz Kulpa, Krzysztof Trojanowski, Krzysztof Wójcik. 31-39 [doi]
- Fishing for interactions: a network science approach to modeling fish school searchMariana Macedo, Lydia Taw, Nishant Gurrapadi, Rodrigo C. Lira, Diego Pinheiro, Marcos A. C. Oliveira, Carmelo J. A. Bastos Filho, Ronaldo Menezes. 40-48 [doi]
- A bio-inspired spatial defence strategy for collective decision making in self-organized swarmsJudhi Prasetyo, Giulia De Masi, Raina Zakir, Muhanad H. Mohammed Alkilabi, Elio Tuci, Eliseo Ferrante. 49-56 [doi]
- A hybrid ant colony optimization algorithm for the knapsack problem with a single continuous variableXinhua Yang, Yufan Zhou, Ailing Shen, Juan Lin, Yiwen Zhong. 57-65 [doi]
- Using multiple generative adversarial networks to build better-connected levels for mega manBenjamin Capps, Jacob Schrum. 66-74 [doi]
- Ensemble feature extraction for multi-container quality-diversity algorithmsLeo Cazenille. 75-83 [doi]
- Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emittersAntoine Cully. 84-92 [doi]
- Resource availability and the evolution of cooperation in a 3D agent-based simulationLara Dal Molin, Jasmeen Kanwal, Christopher Stone. 93-101 [doi]
- Evolving soft robotic jamming grippersSeth G. Fitzgerald, Gary W. Delaney, David Howard, Frédéric Maire. 102-110 [doi]
- On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmarkAlexandru Ianta, Ryan Amaral, Caleidgh Bayer, Robert J. Smith 0002, Malcolm I. Heywood. 111-119 [doi]
- A signal-centric perspective on the evolution of symbolic communicationQuintino Francesco Lotito, Leonardo Lucio Custode, Giovanni Iacca. 120-128 [doi]
- Biodiversity in evolved voxel-based soft robotsEric Medvet, Alberto Bartoli, Federico Pigozzi, Marco Rochelli. 129-137 [doi]
- The Environment and Body-Brain ComplexityChristina Spanellis, Brooke Stewart, Geoff Nitschke. 138-145 [doi]
- Evolving gaits for damage control in a hexapod robotChristopher Mailer, Geoff Nitschke, Leanne Raw. 146-153 [doi]
- Sparse reward exploration via novelty search and emittersGiuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière. 154-162 [doi]
- MAEDyS: multiagent evolution via dynamic skill selectionEnna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer. 163-171 [doi]
- BR-NS: an archive-less approach to novelty searchAchkan Salehi, Alexandre Coninx, Stéphane Doncieux. 172-179 [doi]
- Monte Carlo elites: quality-diversity selection as a multi-armed bandit problemKonstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis. 180-188 [doi]
- Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robotsEnrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano. 189-197 [doi]
- Evolutionary diversity optimization and the minimum spanning tree problemJakob Bossek, Frank Neumann 0001. 198-206 [doi]
- Real-like MAX-SAT instances and the landscape structure across the phase transitionFrancisco Chicano, Gabriela Ochoa, Marco Tomassini. 207-215 [doi]
- A graph coloring based parallel hill climber for large-scale NK-landscapesBilel Derbel, Lorenzo Canonne. 216-224 [doi]
- Unbalanced mallows models for optimizing expensive black-box permutation problemsEkhine Irurozki, Manuel López-Ibáñez 0001. 225-233 [doi]
- On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimizationAlexandre D. Jesus, Luís Paquete, Bilel Derbel, Arnaud Liefooghe. 234-242 [doi]
- Generating hard inventory routing problem instances using evolutionary algorithmsKrzysztof Michalak. 243-251 [doi]
- An efficient implementation of iterative partial transcription for the traveling salesman problemAnirban Mukhopadhyay 0001, L. Darrell Whitley, Renato Tinós. 252-260 [doi]
- Diversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functionsAneta Neumann, Jakob Bossek, Frank Neumann 0001. 261-269 [doi]
- The tiebreaking space of constructive heuristics for the permutation flowshop minimizing makespanMarcus Ritt, Alexander J. Benavides. 270-277 [doi]
- Local search pivoting rules and the landscape global structureSara Tari, Gabriela Ochoa. 278-286 [doi]
- Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problemShaolin Wang, Yi Mei 0001, Mengjie Zhang 0001. 287-295 [doi]
- Genetic algorithm niching by (Quasi-)infinite memoryAdrian Worring, Benjamin E. Mayer, Kay Hamacher. 296-304 [doi]
- Optimizing loss functions through multi-variate taylor polynomial parameterizationSantiago Gonzalez, Risto Miikkulainen. 305-313 [doi]
- A survey of cluster validity indices for automatic data clustering using differential evolutionAdán José García, Wilfrido Gómez-Flores. 314-322 [doi]
- Regularized evolutionary population-based trainingJason Zhu Liang, Santiago Gonzalez, Hormoz Shahrzad, Risto Miikkulainen. 323-331 [doi]
- Convergence analysis of rule-generality on the XCS classifier systemYoshiki Nakamura, Motoki Horiuchi, Masaya Nakata. 332-339 [doi]
- An effective action covering for multi-label learning classifier systems: a graph-theoretic approachShabnam Nazmi, Abdollah Homaifar, Mohd Anwar. 340-348 [doi]
- Genetic programming for borderline instance detection in high-dimensional unbalanced classificationWenBin Pei, Bing Xue 0001, Lin Shang, Mengjie Zhang 0001. 349-357 [doi]
- Genetic adversarial training of decision treesFrancesco Ranzato, Marco Zanella. 358-367 [doi]
- Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenanceTanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier. 368-376 [doi]
- Signal propagation in a gradient-based and evolutionary learning systemJamal Toutouh, Una-May O'Reilly. 377-385 [doi]
- A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property predictionYingfang Yuan, Wenjun Wang, Wei Pang. 386-394 [doi]
- Pareto compliance from a practical point of viewJesús Guillermo Falcón-Cardona, Saúl Zapotecas Martínez, Abel García-Nájera. 395-402 [doi]
- Metric for evaluating normalization methods in multiobjective optimizationLinjun He, Hisao Ishibuchi, Dipti Srinivasan. 403-411 [doi]
- Quick extreme hypervolume contribution algorithmAndrzej Jaszkiewicz, Piotr Zielniewicz. 412-420 [doi]
- Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problemsArnaud Liefooghe, Sébastien Vérel, Benjamin Lacroix, Alexandru-Ciprian Zavoianu, John A. W. McCall. 421-429 [doi]
- p)Eugénie Marescaux, Nikolaus Hansen. 430-438 [doi]
- Distance-based subset selection revisitedKe Shang, Hisao Ishibuchi, Yang Nan. 439-447 [doi]
- Greedy approximated hypervolume subset selection for many-objective optimizationKe Shang, Hisao Ishibuchi, Weiyu Chen. 448-456 [doi]
- Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithmsSeyed Mahdi Shavarani, Manuel López-Ibáñez 0001, Joshua D. Knowles. 457-465 [doi]
- Bayesian preference learning for interactive multi-objective optimisationKendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li 0001. 466-475 [doi]
- Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilitiesMichal K. Tomczyk, Milosz Kadzinski. 476-484 [doi]
- Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithmsJinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng. 485-492 [doi]
- Saddle point optimization with approximate minimization oracleYouhei Akimoto. 493-501 [doi]
- Self-referential quality diversity through differential MAP-ElitesTae Jong Choi, Julian Togelius. 502-509 [doi]
- Explorative data analysis of time series based algorithm features of CMA-ES variantsJacob de Nobel, Hao Wang 0025, Thomas Bäck. 510-518 [doi]
- Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ESPaul Dufossé, Nikolaus Hansen. 519-527 [doi]
- Interaction between model and its evolution control in surrogate-assisted CMA evolution strategyZbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena. 528-536 [doi]
- A matrix adaptation evolution strategy for optimization on general quadratic manifoldsPatrick Spettel, Hans-Georg Beyer. 537-545 [doi]
- Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction frameworkRyoji Tanabe. 546-555 [doi]
- Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithmsJakob Bossek, Aneta Neumann, Frank Neumann 0001. 556-564 [doi]
- Evolutionary algorithms-assisted construction of cryptographic boolean functionsClaude Carlet, Domagoj Jakobovic, Stjepan Picek. 565-573 [doi]
- Analysis of evolutionary diversity optimisation for permutation problemsAnh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann 0001. 574-582 [doi]
- A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learningArkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman. 583-591 [doi]
- Simulated annealing for symbolic regressionDaniel Kantor, Fernando J. Von Zuben, Fabrício Olivetti de Franca. 592-599 [doi]
- Entropy-based evolutionary diversity optimisation for the traveling salesperson problemAdel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann 0001. 600-608 [doi]
- Direct linkage discovery with empirical linkage learningMichal Witold Przewozniczek, Marcin Michal Komarnicki, Bartosz Frej. 609-617 [doi]
- A genetic algorithm approach for the Euclidean Steiner tree problem with soft obstaclesManou Rosenberg, Tim French 0002, Mark Reynolds, Lyndon While. 618-626 [doi]
- Partition crossover for continuous optimization: ePXRenato Tinós, Darrell Whitley, Francisco Chicano, Gabriela Ochoa. 627-635 [doi]
- A parallel ensemble genetic algorithm for the traveling salesman problemSwetha Varadarajan, Darrell Whitley. 636-643 [doi]
- Quadratization of gray coded representations, long path problems and needle functionsDarrell Whitley, Francisco Chicano, Hernán E. Aguirre. 644-651 [doi]
- PSAF: a probabilistic surrogate-assisted framework for single-objective optimizationJulian Blank, Kalyanmoy Deb. 652-659 [doi]
- + λ) evolutionary algorithm on OneMaxMaxim Buzdalov, Carola Doerr. 660-668 [doi]
- Personalizing performance regression models to black-box optimization problemsTome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec. 669-677 [doi]
- Expressivity of parameterized and data-driven representations in quality diversity searchAlexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck. 678-686 [doi]
- The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selectionAnja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr. 687-696 [doi]
- Adaptive scenario subset selection for min-max black-box continuous optimizationAtsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. 697-705 [doi]
- Parallel differential evolution applied to interleaving generation with precedence evaluation of tentative solutionsHayato Noguchi, Tomohiro Harada, Ruck Thawonmas. 706-713 [doi]
- Coevolutionary modeling of cyber attack patterns and mitigations using public datasetsMichal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly. 714-722 [doi]
- A hybrid CP/MOLS approach for multi-objective imbalanced classificationNicolas Szczepanski, Gilles Audemard, Laetitia Jourdan, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen. 723-731 [doi]
- Directing evolution: the automated design of evolutionary pathways using directed graphsBraden N. Tisdale, Deacon Seals, Aaron Scott Pope, Daniel R. Tauritz. 732-740 [doi]
- When non-elitism meets time-linkage problemsWeijie Zheng 0001, Qiaozhi Zhang, Huanhuan Chen, Xin Yao 0001. 741-749 [doi]
- Measuring feature importance of symbolic regression models using partial effectsGuilherme Seidyo Imai Aldeia, Fabrício Olivetti de França. 750-758 [doi]
- A novel multi-task genetic programming approach to uncertain capacitated Arc routing problemMazhar Ansari Ardeh, Yi Mei 0001, Mengjie Zhang 0001. 759-767 [doi]
- Speed benchmarking of genetic programming frameworksFrancisco Baeta, João Correia, Tiago Martins, Penousal Machado. 768-775 [doi]
- Zoetrope genetic programming for regressionAurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Alexis Vighi, Marc Schoenauer. 776-784 [doi]
- PSB2: the second program synthesis benchmark suiteThomas Helmuth, Peter Kelly. 785-794 [doi]
- CoInGP: convolutional inpainting with genetic programmingDomagoj Jakobovic, Luca Manzoni, Luca Mariot, Stjepan Picek, Mauro Castelli. 795-803 [doi]
- Cooperative coevolutionary multiobjective genetic programming for microarray data classificationYang Qing, Chi Ma, Yu Zhou, Xiao Zhang, Haowen Xia. 804-811 [doi]
- Towards effective GP multi-class classification based on dynamic targetsStefano Ruberto, Valerio Terragni, Jason H. Moore. 812-821 [doi]
- A generalizability measure for program synthesis with genetic programmingDominik Sobania, Franz Rothlauf. 822-829 [doi]
- Genetic programming is naturally suited to evolve bagging ensemblesMarco Virgolin. 830-839 [doi]
- Evolvability and complexity properties of the digital circuit genotype-phenotype mapAlden H. Wright, Cheyenne L. Laue. 840-848 [doi]
- Using novelty search to explicitly create diversity in ensembles of classifiersRui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt. 849-857 [doi]
- Training spiking neural networks with a multi-agent evolutionary robotics frameworkSouvik Das, Anirudh Shankar, Vaneet Aggarwal. 858-865 [doi]
- Policy gradient assisted MAP-ElitesOlle Nilsson, Antoine Cully. 866-875 [doi]
- Fitness landscape analysis of graph neural network architecture search spacesMatheus Nunes, Paulo M. Fraga, Gisele L. Pappa. 876-884 [doi]
- Genetic crossover in the evolution of time-dependent neural networksJason Orlosky, Tim Grabowski. 885-891 [doi]
- Evolving and merging hebbian learning rules: increasing generalization by decreasing the number of rulesJoachim Winther Pedersen, Sebastian Risi. 892-900 [doi]
- Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolutionNemanja Rakicevic, Antoine Cully, Petar Kormushev. 901-909 [doi]
- Evolving neural architecture using one shot modelNilotpal Sinha, Kuan-Wen Chen. 910-918 [doi]
- A geometric encoding for neural network evolutionPaul Templier, Emmanuel Rachelson, Dennis G. Wilson. 919-927 [doi]
- A genetic algorithm approach to virtual topology design for multi-layer communication networksUwe Bauknecht. 928-936 [doi]
- Evolutionary minimization of traffic congestionMaximilian Böther, Leon Schiller, Philipp Fischbeck, Louise Molitor, Martin S. Krejca, Tobias Friedrich 0001. 937-945 [doi]
- Accelerated evolutionary induction of heterogeneous decision trees for gene expression-based classificationMarcin Czajkowski, Krzysztof Jurczuk, Marek Kretowski. 946-954 [doi]
- Zeroth-order optimizer benchmarking for 3D performance capture: a real-world use case analysisAlexandros Doumanoglou, Petros Drakoulis, Kyriaki Christaki, Nikolaos Zioulis, Vladimiros Sterzentsenko, Antonis Karakottas, Dimitrios Zarpalas, Petros Daras. 955-963 [doi]
- Evolutionary meta reinforcement learning for portfolio optimizationMyoung Hoon Ha, Seung-geun Chi, Sangyeop Lee, Yujin Cha, Byung Ro Moon. 964-972 [doi]
- A genetic algorithm for AC optimal transmission switchingMasood Jabarnejad. 973-981 [doi]
- Design of specific primer sets for SARS-CoV-2 variants using evolutionary algorithmsAlejandro Lopez Rincon, Carmina A. Perez Romero, Lucero Mendoza Maldonado, Eric Claassen, Johan Garssen, Aletta D. Kraneveld, Alberto Tonda. 982-990 [doi]
- An efficient computational approach for automatic itinerary planning on web serversZeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-jiao Gong. 991-999 [doi]
- Continuously running genetic algorithm for real-time networking device optimizationAmit Mandelbaum, Doron Haritan Kazakov, Natali Shechtman. 1000-1008 [doi]
- Evaluating medical aesthetics treatments through evolved age-estimation modelsRisto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, Stephanie Manson Brown. 1009-1017 [doi]
- Multi-objective optimization of item selection in computerized adaptive testingDena F. Mujtaba, Nihar R. Mahapatra. 1018-1026 [doi]
- A simple evolutionary algorithm guided by local mutations for an efficient RNA designNono S. C. Merleau, Matteo Smerlak. 1027-1034 [doi]
- Multi-objective optimization across multiple concepts: a case study on lattice structure designBrandon Parker, Hemant Kumar Singh, Tapabrata Ray. 1035-1042 [doi]
- MA-ABC: a memetic algorithm optimizing attractiveness, balance, and cost for capacitated Arc routing problemsMuhilan Ramamoorthy, Stephanie Forrest, Violet R. Syrotiuk. 1043-1051 [doi]
- Level generation for angry birds with sequential VAE and latent variable evolutionTakumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. 1052-1060 [doi]
- An evolutionary multi-objective feature selection approach for detecting music segment boundaries of specific typesIgor Vatolkin, Fabian Ostermann, Meinard Müller. 1061-1069 [doi]
- Solving the paintshop scheduling problem with memetic algorithmsWolfgang Weintritt, Nysret Musliu, Felix Winter. 1070-1078 [doi]
- Heuristic strategies for solving complex interacting stockpile blending problem with chance constraintsYue Xie, Aneta Neumann, Frank Neumann 0001. 1079-1087 [doi]
- Encoding the certainty of boolean variables to improve the guidance for search-based test generationSebastian Vogl, Sebastian Schweikl, Gordon Fraser 0001. 1088-1096 [doi]
- Concurrent model synchronisation with multiple objectivesNils Weidmann, Gregor Engels. 1097-1105 [doi]
- Analyzing the impact of product configuration variations on advanced driver assistance systems with searchKaiou Yin, Paolo Arcaini, Tao Yue 0002, Shaukat Ali 0001. 1106-1114 [doi]
- Lazy parameter tuning and control: choosing all parameters randomly from a power-law distributionDenis Antipov, Maxim Buzdalov, Benjamin Doerr. 1115-1123 [doi]
- Generalized jump functionsHenry Bambury, Antoine Bultel, Benjamin Doerr. 1124-1132 [doi]
- Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleysDuc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre. 1133-1141 [doi]
- Lower bounds from fitness levels made easyBenjamin Doerr, Timo Kötzing. 1142-1150 [doi]
- Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matterMario Alejandro Hevia Fajardo, Dirk Sudholt. 1151-1159 [doi]
- More precise runtime analyses of non-elitist EAs in uncertain environmentsPer Kristian Lehre, Xiaoyu Qin. 1160-1168 [doi]
- Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functionsDaiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. 1169-1177 [doi]
- Stagnation detection in highly multimodal fitness landscapesAmirhossein Rajabi, Carsten Witt. 1178-1186 [doi]
- Runtime analysis of RLS and the (1+1) EA for the chance-constrained knapsack problem with correlated uniform weightsYue Xie, Aneta Neumann, Frank Neumann 0001, Andrew M. Sutton. 1187-1194 [doi]