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Evolutionary multi-agent systems : from inspirations to applications / Aleksander Byrski, Marek Kisiel-Dorohinicki.

Byrski, Aleksander, author.; Kisiel-Dorohinicki, Marek, author.
2017
QA76.76.I58
Available Online
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Title
Evolutionary multi-agent systems : from inspirations to applications / Aleksander Byrski, Marek Kisiel-Dorohinicki.
Author
Byrski, Aleksander, author.
ISBN
9783319513881 (electronic book)
3319513885 (electronic book)
9783319513874
DOI
https://doi.org/10.1007/978-3-319-51388-1
Published
Cham : Springer, 2017.
Language
English
Description
1 online resource (xiv, 210 pages) : illustrations.
Item Number
10.1007/978-3-319-51388-1 doi
Call Number
QA76.76.I58
Dewey Decimal Classification
006.3
Summary
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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Access limited to authorized users.
Digital File Characteristics
text file PDF
Added Author
Kisiel-Dorohinicki, Marek, author.
Series
Studies in computational intelligence ; v. 680.
Available in Other Form
Print version: 9783319513874
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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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