Agent-Based Optimization (Hardcover, 2013 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 456
Release date:	December 2012
First published:	2013
Editors:	Ireneusz Czarnowski • Piotr Jedrzejowicz • Janusz Kacprzyk
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	206
Edition:	2013 ed.
ISBN-13:	978-3-642-34096-3
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-34096-2
Barcode:	9783642340963

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