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Agentbased Optimization (Studies In Computational Intelligence, 456),Used
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This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multiagent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited several wellknown specialists to present their solutions, tools, and models falling under the common denominator of the agentbased optimization. The book consists of eight chapters covering examples of application of the multiagent 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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