| Autor: |
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Computational Science. 64:101858 |
| ISSN: |
1877-7503 |
| DOI: |
10.1016/j.jocs.2022.101858 |
| Popis: |
Evolutionary multi-agent systems (EMASs) are very good at dealing with difficult, multi-dimensional problems, their efficacy was proven theoretically based on analysis of the relevant Markov-Chain based model. Now the research continues on introducing autonomous hybridization into EMAS. This paper focuses on a proposed hybrid version of the EMAS, and covers selection and introduction of a number of hybrid operators and defining rules for starting the hybrid steps of the main algorithm. Those hybrid steps leverage existing, well-known and proven to be efficient metaheuristics, and integrate their results into the main algorithm. The discussed modifications are evaluated based on a number of difficult continuous-optimization benchmarks. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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Full Text from ScienceDirect