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Evolutionary Multi-Agent Systems: From Inspirations to Applications by Aleksande

Description: Evolutionary Multi-Agent Systems by Aleksander Byrski, Marek Kisiel-Dorohinicki 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover 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. Table of Contents 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. Feature Includes a full formal analysis of evolutionary multi-agent systems (EMAS) Provides a literature review and explores the motivation and definition of the systems considered Explains the design and implementation of the platforms supporting EMAS-like computations Presents experimental results obtained by applying EMAS and some of its modifications to solve discrete and continuous problems Explores the possibilities of adapting particular EMAS parameters to solve benchmarking problems of varying difficulty Details ISBN331984637X Author Marek Kisiel-Dorohinicki ISBN-10 331984637X ISBN-13 9783319846378 Format Paperback Series Studies in Computational Intelligence Subtitle From Inspirations to Applications DEWEY 005.1 Pages 210 Year 2018 Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Publication Date 2018-04-30 Short Title Evolutionary Multi-Agent Systems Language English Series Number 680 UK Release Date 2018-04-30 Illustrations 77 Illustrations, black and white; XIV, 210 p. 77 illus. Edited by Yeonseung Ryu Birth 1974 Affiliation Massachusetts Institute of Technology Position journalist Qualifications S. J. Publisher Springer International Publishing AG Edition Description Softcover reprint of the original 1st ed. 2017 Alternative 9783319513874 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:118616926;

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Evolutionary Multi-Agent Systems: From Inspirations to Applications by Aleksande

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ISBN-13: 9783319846378

Book Title: Evolutionary Multi-Agent Systems

Number of Pages: 210 Pages

Language: English

Publication Name: Evolutionary Multi-Agent Systems: from Inspirations to Applications

Publisher: Springer International Publishing Ag

Publication Year: 2018

Subject: Computer Science

Item Height: 235 mm

Item Weight: 349 g

Type: Textbook

Author: Aleksander Byrski, Marek Kisiel-Dorohinicki

Item Width: 155 mm

Format: Paperback

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