Evolutionary Multi-Agent Systems: From Inspirations to Applications
Author:   Aleksander Byrski ,  Marek Kisiel-Dorohinicki
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   680
ISBN:  

9783319513874


Pages:   210
Publication Date:   02 January 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Evolutionary Multi-Agent Systems: From Inspirations to Applications


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Overview

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.

Full Product Details

Author:   Aleksander Byrski ,  Marek Kisiel-Dorohinicki
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   680
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   4.616kg
ISBN:  

9783319513874


ISBN 10:   3319513877
Pages:   210
Publication Date:   02 January 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.

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