Szczegóły publikacji
Opis bibliograficzny
Evolutionary multi-agent computing in inverse problems / Krzysztof Wróbel, Paweł Torba, Maciej PASZYŃSKI, Aleksander BYRSKI // Computer Science ; ISSN 1508-2806. — 2013 — vol. 14 no. 3, s. 367–383. — Bibliogr. s. 381–383, Abstr.
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 77664 |
|---|---|
| Data dodania do BaDAP | 2013-12-04 |
| Tekst źródłowy | URL |
| DOI | 10.7494/csci.2013.14.3.367 |
| Rok publikacji | 2013 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Computer Science |
Abstract
This paper tackles the application of evolutionary multi-agent computing to solve inverse problems. High costs of fitness function call become a major difficulty when approaching these problems with population-based heuristics. However, evolutionary agent-based systems (EMAS) turn out to reduce the fitness function calls, which makes them a possible weapon of choice against them. This paper recalls the basics of EMAS and describes the considered problem (Step and Flash Imprint Lithography), and later, shows convincing results that EMAS is more effective than a classical evolutionary algorithm.
