Szczegóły publikacji
Opis bibliograficzny
Extending estimation of distribution algorithms with agent-based computing inspirations / Aleksander BYRSKI, Marek KISIEL-DOROHINICKI, Norbert Tusiński // W: Transactions on Computational Collective Intelligence XXVII / eds. Ngoc Thanh Nguyen, Ryszard Kowalczyk, Marcek Mercik. — Berlin ; Heidelberg : Springer-Verlag, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; vol. 10480. Transactions on Computational Collective Intelligence ; ISSN 0302-9743). — Third seminar on "Quantitative methods of group decision making" : Wroclaw, Poland, November 24, 2017. — ISBN: 978-3-319-70646-7; e-ISBN: 978-3-319-70647-4. — S. 191–207. — Bibliogr. s. 206–207, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 110818 |
|---|---|
| Data dodania do BaDAP | 2018-01-06 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-70647-4_13 |
| Rok publikacji | 2017 |
| Typ publikacji | fragment książki |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | Third seminar on "Quantitative methods of group decision making" |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
In the paper several extensions of a successful EDA-type algorithm, namely COMMAop, inspired by the paradigm of agent-based computing (EMAS) are presented. The proposed algorithms leveraging notions connected with EMAS, such as reproduction and death, or even the population decomposition, turn out to be better than the original algorithm. The evidence for this is presented in the end of the paper, utilizing QAP problems by Éric Taillard as benchmarks.
