Szczegóły publikacji

Opis bibliograficzny

Differential evolution in agent-based computing / Mateusz GODZIK, Bartłomiej Grochal, Jakub Piekarz, Mikołaj Sieniawski, Aleksander BYRSKI, Marek KISIEL-DOROHINICKI // W: Intelligent information and database systems : 11th Asian conference, ACIIDS 2019 : Yogyakarta, Indonesia, April 8–11, 2019 : proceedings, Pt. 2 / eds. Ngoc Thanh Nguyen, [et al.]. — Switzerland : Springer Nature Switzerland AG, cop. 2019. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 11432. Lecture Notes in Artificial Intelligence). — ISBN: 978-3-030-14801-0; e-ISBN: 978-3-030-14802-7. — S. 228–241. — Bibliogr. s. 240–241, Abstr.

Autorzy (6)

Słowa kluczowe

metaheuristicsagent based computingdifferential evolutionhybrid algorithms

Dane bibliometryczne

ID BaDAP121188
Data dodania do BaDAP2019-05-20
Tekst źródłowyURL
DOI10.1007/978-3-030-14802-7_20
Rok publikacji2019
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
KonferencjaAsian Conference on Intelligent Information and Database Systems 2019
Czasopismo/seriaLecture Notes in Computer Science

Abstract

Evolutionary multi-agent systems (EMAS) turned out to be quite efficient technique for solving complex problems, both benchmark ones (as well-known multi-dimensional functions, e.g. Rastrigin, Schwefel etc) and more practical ones (like Optimal Golomb Ruler or Low Autocorrelation Binary Sequence). However the already classic design of the EMAS (these metaheuristics have been developed for over 15 years) has still many places for improvement. Hybridization is one of such means, and it turns out that incorporating Differential Evolution mechanisms into EMAS (altering the reproduction strategy by making it more socialaware) improves the accuracy of the search. This paper deals with discussion of selected means for hybridization of EMAS with DE, and provides an insight into the efficacy of the novel algorithm compared with classic techniques based on multidimensional benchmark problems.

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