Overview
- Recent research in Agent-Based Optimization
- Presents novel and promising approaches in which the multi-agent system paradigm is used to solve difficult optimization problems
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 456)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multi-agent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited several well-known specialists to present their solutions, tools, and models falling under the common denominator of the agent-based optimization. The book consists of eight chapters covering examples of application of the multi-agent paradigm and respective customized tools to solve difficult optimization problems arising in different areas such as machine learning, scheduling, transportation and, more generally, distributed and cooperative problem solving.
Editors and Affiliations
Bibliographic Information
Book Title: Agent-Based Optimization
Editors: Ireneusz Czarnowski, Piotr Jędrzejowicz, Janusz Kacprzyk
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-34097-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-34096-3Published: 14 December 2012
Softcover ISBN: 978-3-642-44731-0Published: 29 January 2015
eBook ISBN: 978-3-642-34097-0Published: 14 December 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 206