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Evolutionary Multi-Agent Systems: From Inspirations to Applications de Aleksander Byrski

Evolutionary Multi-Agent Systems: From Inspirations to Applications: Studies in Computational Intelligence, cartea 680

Autor Aleksander Byrski, Marek Kisiel-Dorohinicki
en Limba Engleză Hardback – 2 ian 2017
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.
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Specificații

ISBN-13: 9783319513874
ISBN-10: 3319513877
Pagini: 210
Ilustrații: XIV, 210 p. 77 illus.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.49 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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 alsoincluded, rounding out the coverage.

Caracteristici

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 Includes supplementary material: sn.pub/extras