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Evolutionary multi-agent systems = from inspirations to applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Evolutionary multi-agent systems/ by Aleksander Byrski, Marek Kisiel-Dorohinicki.
Reminder of title:	from inspirations to applications /
Author:	Byrski, Aleksander.
other author:	Kisiel-Dorohinicki, Marek.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xiv, 210 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Multiagent systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-51388-1
ISBN:	9783319513881

Evolutionary multi-agent systems = from inspirations to applications /
Byrski, Aleksander.

Evolutionary multi-agent systemsfrom inspirations to applications /[electronic resource] :by Aleksander Byrski, Marek Kisiel-Dorohinicki. - Cham :Springer International Publishing :2017. - xiv, 210 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6801860-949X ;. - Studies in computational intelligence ;v. 50. .

Preface -- Part I Concept and formal model: Contemporary methods of computational intelligence -- Agent-based computing -- Formal aspects of agent-based metaheuristics -- Part II Design and implementation: Agent-based and component inspirations -- Implementation aspects of agent-based computing systems -- AgE Computing Environment -- Part III Experimental results: EMAS in optimization problems -- Tuning of EMAS parameters -- Final remarks -- References.

This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

ISBN: 9783319513881

Standard No.: 10.1007/978-3-319-51388-1doiSubjects--Topical Terms:

745736
Multiagent systems.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

Evolutionary multi-agent systems = from inspirations to applications /
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