Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm
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| Titel: | Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm |
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| Autoren: | Klein, Lukáš, Zelinka, Ivan, Seidl, David |
| Verlagsinformationen: | Elsevier |
| Publikationsjahr: | 2024 |
| Bestand: | DSpace VŠB-TUO (Vysoká škola báňská - Technická univerzita Ostrava / Technical University of Ostrava) |
| Schlagwörter: | self-organizing migrating algorithm, optimization algorithm, swarm intelligence, numerical optimization, reinforcement learning |
| Publikationsart: | article in journal/newspaper |
| Dateibeschreibung: | text/plain; image/jpeg; application/pdf; downloadable_files_count: 1 |
| Sprache: | English |
| Relation: | Swarm and Evolutionary Computation; https://doi.org/10.1016/j.swevo.2024.101487; Swarm and Evolutionary Computation. 2024, vol. 85, art. no. 101487.; https://hdl.handle.net/10084/155264; 001174331700001 |
| DOI: | 10.1016/j.swevo.2024.101487 |
| Verfügbarkeit: | https://hdl.handle.net/10084/155264 https://doi.org/10.1016/j.swevo.2024.101487 |
| Rights: | © 2024 The Authors. Published by Elsevier B.V. ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; openAccess |
| Dokumentencode: | edsbas.5E77DE7E |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | DOI: | 10.1016/j.swevo.2024.101487 |
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