Szczegóły publikacji
Opis bibliograficzny
Asynchronous actor-based approach to multiobjective hierarchical strategy / Michał IDZIK, Aleksander BYRSKI, Wojciech TUREK, Marek KISIEL-DOROHINICKI // W: Computational Science - ICCS 2020 : 20th International Conference : Amsterdam, The Netherlands, June 3–5, 2020 : proceedings, Pt. 3 / eds. Valeria V. Krzhizhanovskaya, [et al.]. — Cham : Springer Nature Switzerland, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12139. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-50419-9; e-ISBN: 978-3-030-50420-5. — S. 172–185. — Bibliogr. s. 184–185, Abstr. — Publikacja dostępna online od: 2020-06-15
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 129904 |
|---|---|
| Data dodania do BaDAP | 2020-09-16 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-030-50420-5_13 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Computational Science 2020 |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
Hierarchical Genetic Strategy (HGS) is a general-purpose optimization metaheuristic based on multi-deme evolutionary-like optimization, while demes are parts of adaptive dynamically changing tree. The paper focuses on adaptation of the classic HGS algorithm for multi-criteria optimization problems, coupling the HGS with Particle Swarm Optimization demes. The main contribution of the paper is showing the efficacy and efficiency of the actor-based implementation of this metaheuristic algorithm.
