Szczegóły publikacji
Opis bibliograficzny
Agent-based co-operative co-evolutionary algorithm for multi-objective optimization / Rafał DREŻEWSKI, Leszek SIWIK // W: Artificial Intelligence and Soft Computing – ICAISC 2008 : 9th International Conference : Zakopane, Poland, June 22–26, 2008 : proceedings / eds. Leszek Rutkowski [et al.]. — Berlin ; Heidelberg : Springer-Verlag, cop. 2008. — ( Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 5097. Lecture Notes in Artificial Intelligence ). — ISBN: 978-3-540-69572-1; e-ISBN: 978-3-540-69731-2. — S. 388–397. — Bibliogr. s. 395–397, Abstr.
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 39583 |
|---|---|
| Data dodania do BaDAP | 2008-07-09 |
| Rok publikacji | 2008 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
Co-evolutionary algorithms are a special type of evolutionary algorithms, in which the fitness of each individual depends on other individuals' fitness. Such algorithms are applicable in the case of problems for which the formulation of explicit fitness function is difficult or impossible. Co-evolutionary algorithms also maintain population diversity better than "classical" evolutionary algorithms. In this paper the agent-based version of co-operative co-evolutionary algorithm is presented and applied to multi-objective test problems. The proposed technique is also compared to two "classical" multi-objective evolutionary algorithms.
