By Ireneusz Czarnowski, Piotr Jędrzejowicz, Janusz Kacprzyk
This quantity offers a set of unique examine works via major experts concentrating on novel and promising techniques during which the multi-agent approach paradigm is used to aid, improve or exchange conventional techniques to fixing tricky optimization difficulties. The editors have invited numerous recognized experts to provide their suggestions, instruments, and versions falling lower than the typical denominator of the agent-based optimization. The ebook includes 8 chapters protecting examples of software of the multi-agent paradigm and respective personalized instruments to unravel tough optimization difficulties bobbing up in numerous components resembling computer studying, scheduling, transportation and, extra usually, allotted and cooperative challenge fixing.
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Additional resources for Agent-Based Optimization
Support Vector Machine Based Multiagent Ensemble Learning for Credit Risk Evaluation. Expert Systems with Applications 37, 1351– 1360 (2010) 84. : A Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM) Approach to Brain Modeling and Neurofuzzy Control. Information Science 167, 109–127 (2004) 85. : Multi-Database Mining. IEEE Computational Intelligence Bulletin 2(1), 5–13 (2003) 86. : CLAP: Collaborative Pattern Mining for Distributed Information Systems. Decision Support Systems 52, 40–51 (2011) Ant Colony Optimization for the Multi-criteria Vehicle Navigation Problem Mariusz Boryczka and Wojciech Bura Abstract.
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