Szczegóły publikacji

Opis bibliograficzny

Agent-based approach to continuous optimisation / Aleksander BYRSKI, Marek KISIEL-DOROHINICKI // W: Man-machine interactions 3 : [ICMMI 2013 : 3rd International Conference on Man-Machine Interactions : Brenna, October 22nd–25th, 2013] / eds. Aleksandra Gruca, Tadeusz Czachórski, Stanisław Kozielski. — Switzerland : Springer International Publishing, cop. 2014. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 242). — ISBN: 978-3-319-02308-3; e-ISBN: 978-3-319-02309-0. — S. 487–494. — Bibliogr. s. 494, Abstr.

Autorzy (2)

Słowa kluczowe

multi-agent computing systemscontinuous optimisationevolutionary algorithmsmemetic computation

Dane bibliometryczne

ID BaDAP77773
Data dodania do BaDAP2013-11-21
DOI10.1007/978-3-319-02309-0_53
Rok publikacji2014
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
Konferencja3rd International Conference on Man-Machine Interactions
Czasopismo/seriaAdvances in Intelligent Systems and Computing

Abstract

In the paper an application of selected agent-based evolutionary computing systems, such as flock-based multi agent system (FLOCK) and evolutionary multi-agent system (EMAS), to the problem of continuous optimisation is presented. Hybridising of agent-based paradigm with evolutionary computation brings a new quality to the meta-heuristic field, easily enhancing individuals with possibilities of perception, interaction with other individuals (agents), adaptation of the search parameters, etc. The experimental examination of selected benchmarks allows to gather the observation regarding the overall efficiency of the systems in comparison to the classical genetic algorithm(as defined by Michalewicz) and memetic versions of all the systems.

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#81834Data dodania: 17.6.2014
Memetic computing in selected agent-based evolutionary systems / Aleksander BYRSKI, Marek KISIEL-DOROHINICKI // W: ECMS 2014 : 28th European Conference on Modelling and Simulation : May 27th–30th, 2014, Brescia, Italy / eds. Flaminio Squazzoni [et al.]. — Germany : ECMS, cop. 2014 + CD. — ISBN: 978-0-9564944-8-1; e-ISBN: 978-0-9564944-9-8. — S. 495–500. — Bibliogr. s. 498, Abstr.