T�tulo: Agent-Based Optimization (Studies in Computational Intelligence, 456)
Editor: Springer
Fecha de publicaci�n: 2012
Idioma: Ingl�s
ISBN 10: 3642340962
ISBN 13: 9783642340963
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

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.

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