2006 | OriginalPaper | Buchkapitel
Comparing Energetic and Immunological Selection in Agent-Based Evolutionary Optimization
verfasst von : Aleksander Byrski, Marek Kisiel-Dorohinicki
Erschienen in: Intelligent Information Processing and Web Mining
Verlag: Springer Berlin Heidelberg
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In the paper the idea of an immunological selection mechanism for the agent-based evolutionary computation is presented. General considerations are illustrated by the particular system dedicated to function optimization. Selected experimental results allow for the comparison of the performance of immune-inpired selection mechanisms and classical energetic ones.