Evolutionary Multi-Agent Systems
From Inspirations to Applications
Published on 2. January 2017
Book
Hardback
XIV, 210 pages
978-3-319-51387-4 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
77 s/w Abbildungen
XIV, 210 p. 77 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 18 mm
Weight
506 gr
ISBN-13
978-3-319-51387-4 (9783319513874)
DOI
10.1007/978-3-319-51388-1
Schweitzer Classification
Other editions
Additional editions
Aleksander Byrski | Marek Kisiel-Dorohinicki
Evolutionary Multi-Agent Systems
From Inspirations to Applications
Book
04/2018
Springer
€149.79
Shipment within 10-15 days
Aleksander Byrski | Marek Kisiel-Dorohinicki
Evolutionary Multi-Agent Systems
From Inspirations to Applications
E-Book
12/2016
Springer
€139.09
Available for download
Content
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.