Search Results - (("dynamic algorithm configuration") OR ("dynamika algorithm configuration"))*
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Authors: et al.
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Authors: et al.
Contributors: et al.
Source: urn:tid:203734378
Subject Terms: Algoritmo genético, Aprendizagem máquina, Aprendizagem por reforço, Configuração dinâmica de algoritmos, DAC, Otimização por enxame de partículas, SARSA, Deep-SARSA, Dynamic algorithm configuration, Reinforcement learning, Genetic algorithm, Particle swarm optimization, Machine learning
File Description: application/pdf
Availability: http://hdl.handle.net/10400.22/26902
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Authors:
Source: International Journal of General Systems ; volume 53, issue 1, page 41-71 ; ISSN 0308-1079 1563-5104
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Authors: et al.
Source: ECAI 2025. 413
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Authors: et al.
Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :563-566
Subject Terms: izbira algoritmov, FOS: Computer and information sciences, reinforcement learning, instance selection, Computer Science - Machine Learning, dynamic algorithm configuration, generalization, Machine Learning (cs.LG)
File Description: text/url; application/pdf
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Authors: Reijnen, Robbert Victor Jacobus
Source: Reijnen, R V J 2025, 'Dynamic Algorithm Configuration for Machine Scheduling Using Deep Reinforcement Learning', Doctor of Philosophy, Industrial Engineering and Innovation Sciences, Eindhoven.
File Description: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/isbn/978-90-386-6486-6
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Authors: et al.
Source: GECCO'24 companion, pp. 563-566, 2024. ; ISBN: 979-8-4007-0495-6 ; ZDA
Subject Terms: dynamic algorithm configuration, reinforcement learning, instance selection, generalization, izbira algoritmov, info:eu-repo/classification/udc/004.8
File Description: text/url; application/pdf
Relation: info:eu-repo/grantAgreement/ARRS//P2-0098; info:eu-repo/grantAgreement/ARRS//J2-4460; info:eu-repo/grantAgreement/ARRS/young researcher grant/PR-12393; info:eu-repo/grantAgreement/ARRS/young researcher grant/PR-12897; info:eu-repo/grantAgreement/other//57654659; https://dirros.openscience.si/IzpisGradiva.php?id=20445; https://dirros.openscience.si/Dokument.php?id=28794&dn=; https://dirros.openscience.si/Dokument.php?id=28799&dn=; https://plus.cobiss.net/cobiss/si/sl/bib/206992131
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Authors: et al.
Subject Terms: Machine Learning, Neural and Evolutionary Computing
Relation: http://arxiv.org/abs/2510.23535
Availability: http://arxiv.org/abs/2510.23535
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Authors: et al.
Contributors: et al.
Source: Proceedings of the Genetic and Evolutionary Computation Conference. :766-775
Subject Terms: MCC, QA75, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, QA75 Electronic computers. Computer science, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Computer Science - Neural and Evolutionary Computing, 02 engineering and technology, NS, NIS, Machine Learning (cs.LG), 0202 electrical engineering, electronic engineering, information engineering, Neural and Evolutionary Computing (cs.NE)
File Description: application/pdf
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Authors: et al.
Source: Journal of Artificial Intelligence Research. 75:1633-1699
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2205.13881
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Authors:
Source: Lecture Notes in Computer Science ISBN: 9783031629211
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Authors: et al.
Source: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. :1668-1674
Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence
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Authors: et al.
Source: Proceedings of the International Conference on Automated Planning and Scheduling. 31:597-605
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2006.08246
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Authors: et al.
Contributors: et al.
Subject Terms: Optimization, Benchmarking, Dynamic algorithm selection, Modular Algorithms, Black-box, Evolutionary Algorithms, Algorithm configuration, Exploratory Landscape Analysis
File Description: application/pdf
Access URL: https://hdl.handle.net/1887/4180395
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Authors: et al.
Source: Nguyen , T , Le , P , Doerr , C & Dang , N 2025 , Multi-parameter control for the (1+(λ,λ))-GA on OneMax via deep reinforcement learning . in Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms . ACM , Conference on Foundations of Genetic Algorithms , Leiden , Netherlands , 27/08/25 . https://doi.org/10.1145/3729878.3746703
Subject Terms: Deep reinforcement learning, Dynamic algorithm configuration, Optimisation
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Authors:
Source: International Journal of General Systems; Jan2024, Vol. 53 Issue 1, p41-71, 31p
Subject Terms: METAHEURISTIC algorithms, ALGORITHMS, ARTIFICIAL neural networks, QUALITY of service
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Authors: Vermetten, Diederick
Source: ACM SIGEVOlution ; volume 18, issue 3, page 1-3 ; ISSN 1931-8499
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Authors: et al.
Source: Journal of Artificial Intelligence Research. 2022, Vol. 75, p1633-1699. 67p.
Subject Terms: Algorithms, Heuristic algorithms, Artificial intelligence, Machine learning, Data mining
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