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Evolutionary multi-agent systemsfrom...

Byrski, Aleksander.

Evolutionary multi-agent systemsfrom inspirations to applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evolutionary multi-agent systemsby Aleksander Byrski, Marek Kisiel-Dorohinicki.
其他題名:	from inspirations to applications /
作者:	Byrski, Aleksander.
其他作者:	Kisiel-Dorohinicki, Marek.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xiv, 210 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Multiagent systems.
電子資源:	http://dx.doi.org/10.1007/978-3-319-51388-1
ISBN:	9783319513881$q(electronic bk.)

Evolutionary multi-agent systemsfrom 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. 216..

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$q(electronic bk.)

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

484868
Multiagent systems.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

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