Szczegóły publikacji
Opis bibliograficzny
Influence of migration on efficacy and efficiency of parallel evolutionary computing / Sylwia BIEŁASZEK, Leszek RUTKOWSKI, Aleksander BYRSKI // Journal of Automation, Mobile Robotics & Intelligent Systems : JAMRIS ; ISSN 1897-8649. — 2024 — vol. 18 iss. 4, s. 1–12. — Bibliogr. s. 11–12, Abstr. — Publikacja dostępna online od: 2024-12-02. — L. Rutkowski - dod. afiliacja: Institute of Systems Sciences Polish Academy of Sciences, Warsaw
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 157075 |
|---|---|
| Data dodania do BaDAP | 2025-01-13 |
| Tekst źródłowy | URL |
| DOI | 10.14313/JAMRIS/4-2024/27 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Automation, Mobile Robotics and Intelligent Systems |
Abstract
Metaheuristics, such as evolutionary algorithms (EAs) have been proven to be (also theoretically, see, for example, the works of Michael Vose [1]) universal optimization methods. Previous works (Zbigniew Skolicki and Kenneth De Jong [2]) investigated impact of migration intervals on island models of EA’s in their works. Here we explore different migration intervals and amounts of migrating individuals, complementing Skolicki and DeJong’s research. In our experiments we use different ways of selecting migrants and pave the way for further research, e.g. involving different topologies and neighborhoods. We present the idea of the algorithm, show experimental results.
