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 Hardcover 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 ISBN3319513877 Author Marek Kisiel-Dorohinicki Year 2017 ISBN-10 3319513877 ISBN-13 9783319513874 Format Hardcover Pages 210 Publication Date 2017-01-02 Language English Media Book Imprint Springer International Publishing AG Subtitle From Inspirations to Applications Place of Publication Cham Country of Publication Switzerland Edition 1st Illustrations 77 Illustrations, black and white; XIV, 210 p. 77 illus. Short Title Evolutionary Multi-Agent Systems DOI 10.1007/978-3-319-51388-1 Series Number 680 Edited by Andrey Somov Birth 1927 Affiliation Massachusetts Institute of Technology Position journalist Qualifications S. J. Publisher Springer International Publishing AG Edition Description 1st ed. 2017 Series Studies in Computational Intelligence Alternative 9783319846378 DEWEY 006.3823 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:130676429;
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ISBN-13: 9783319513874
Book Title: Evolutionary Multi-Agent Systems
Item Height: 235 mm
Item Width: 155 mm
Author: Aleksander Byrski, Marek Kisiel-Dorohinicki
Publication Name: Evolutionary Multi-Agent Systems: from Inspirations to Applications
Format: Hardcover
Language: English
Publisher: Springer International Publishing Ag
Subject: Computer Science
Publication Year: 2017
Type: Textbook
Item Weight: 4616 g
Number of Pages: 210 Pages
