Szczegóły publikacji
Opis bibliograficzny
Massively concurrent agent-based evolutionary computing / D. KRZYWICKI, W. TUREK, A. BYRSKI, M. KISIEL-DOROHINICKI // Journal of Computational Science ; ISSN 1877-7503. — 2015 — vol. 11, s. 153–162. — Bibliogr. s. 161–162. — Publikacja dostępna online od: 2015-07-29
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 95075 |
|---|---|
| Data dodania do BaDAP | 2016-01-05 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.jocs.2015.07.003 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Journal of Computational Science |
Abstract
The fusion of the multi-agent paradigm with evolutionary computation yielded promising results in many optimization problems. Evolutionary multi-agent systems (EMAS) are more similar to biological evolution than classical evolutionary algorithms. However, technological limitations prevented the use of fully asynchronous agents in previous EMAS implementations. In this paper we present a new algorithm for agent-based evolutionary computations. The individuals are represented as fully autonomous and asynchronous agents. An efficient implementation of this algorithm was possible through the use of modern technologies based on functional languages (namely Erlang and Scala), which natively support lightweight processes and asynchronous communication. Our experiments show that such an asynchronous approach is both faster and more efficient in solving common optimization problems.
