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Agent-Based Optimization

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Agent-Based Optimization Synopsis

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.

About This Edition

ISBN: 9783642447310
Publication date: 29th January 2015
Author: Ireneusz Czarnowski, Piotr Jedrzejowicz, Janusz Kacprzyk
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 206 pages
Series: Studies in Computational Intelligence
Genres: Artificial intelligence