Szczegóły publikacji
Opis bibliograficzny
Elitism in multiobjective hierarchical strategy / Michał IDZIK, Radosław ŁAZARZ, Aleksander BYRSKI // W: Computational Science – ICCS 2021 : 21st international conference : Krakow, Poland, June 16–18, 2021 : proceedings, Pt. 4 / eds. Maciej Paszyński, [et al.]. — Cham : Springer Nature Switzerland, cop. 2021. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12745. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-77969-6; e-ISBN: 978-3-030-77970-2. — S. 214–228. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-06-09
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 134754 |
|---|---|
| Data dodania do BaDAP | 2021-07-15 |
| DOI | 10.1007/978-3-030-77970-2_17 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 21st International Conference on Computational Science |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
The paper focuses on complex metaheuristic algorithms, namely multi-objective hierarchical strategy, which consists of a dynamically evolving tree of interdependent demes of individuals. The main contribution presented in this paper is the introduction of elitism in a form of an archive, locally into the demes and globally into the whole tree and developing necessary updates between them. The newly proposed algorithms (utilizing elitism) are compared with their previous versions as well as with the best state of the art multi-objective metaheuristics.