Szczegóły publikacji
Opis bibliograficzny
Agent-based multi-objective evolutionary algoritm with sexual selection / Rafał DREŻEWSKI, Leszek SIWIK // W: WCCI 2008 [Dokument elektroniczny] : 2008 IEEE World Congress on Computational Intelligence : IJCNN 2008 : FUZZ-IEEE 2008 : CEC 2008 : June 1–6, 2008, Hong Kong : proceedings / IEEE. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE,, 2008. — 1 dysk optyczny. — ( Proceedings of ... International Joint Conference on Neural Networks ; ISSN 2161-4393 ). — Dod. ISBN: 978-1-4244-1819-0. — Congress on Evolutionary Computation ; ISBN: 978-1-4244-1823-7. — e-ISBN: 978-1-4244-1821-3. — S. 3680–3685. — Wymagania systemowe: Adobe Acrobat Reader ; napęd CD-ROM. — Bibliogr. s. 3684–3685, Abstr. — W bazie Web of Science zakres stron: 3679-3684
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 41066 |
|---|---|
| Data dodania do BaDAP | 2008-10-27 |
| DOI | 10.1109/CEC.2008.4631296 |
| Rok publikacji | 2008 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | Proceedings of ... International Joint Conference on Neural Networks |
Abstract
Evolutionary algorithms are (meta-)heuristic techniques used in the case of search, optimization, and adaptation problems, which cannot be solved with the use of traditional methods. Sexual selection mechanism helps to maintain the population diversity in evolutionary algorithms. In this paper the agent-based realization of multi-objective evolutionary algorithm with sexual selection mechanism is presented. The system is evaluated with the use of Zitzler's test problems and compared to "classical" multi-objective evolutionary algorithms.
