Agent-Based Optimization by Ireneusz Czarnowski, Piotr Jędrzejowicz, Janusz Kacprzyk

By Ireneusz Czarnowski, Piotr Jędrzejowicz, Janusz Kacprzyk

This quantity offers a set of unique study works through major experts concentrating on novel and promising ways during which the multi-agent procedure paradigm is used to aid, increase or exchange conventional techniques to fixing tricky optimization difficulties. The editors have invited numerous famous experts to give their strategies, instruments, and types falling less than the typical denominator of the agent-based optimization. The publication involves 8 chapters overlaying examples of program of the multi-agent paradigm and respective custom-made instruments to unravel tricky optimization difficulties coming up in several parts akin to computer studying, scheduling, transportation and, extra in most cases, allotted and cooperative challenge fixing.

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W. ) IWLCS 2003. LNCS (LNAI), vol. 4399, pp. 282–290. Springer, Heidelberg (2007) 7. : Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System. W. ) IWLCS 2003. LNCS (LNAI), vol. 4399, pp. 59–79. Springer, Heidelberg (2007) 24 I. Czarnowski and P. Jedrzejowicz 8. : Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System. , Takadama, K. ) IWLCS 2006 and IWLCS 2007. LNCS (LNAI), vol.

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