Abstract
In the paper the need and general idea of user-assisted management of computational intelligence systems is discussed. First some methodological issues are presented with particular attention paid to agent-based approaches. These general considerations are supported by the case of evolutionary multi-agent system (EMAS) with immunological selection, applied to multi-modal function optimization subjected to a user-driven tuning procedure. Finally, preliminary experimental results considering the influence of selected parameters on the performance of the system are shown. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Byrski, A., & Kisiel-Dorohinicki, M. (2008). User-assisted management of agent-based evolutionary computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5103 LNCS, pp. 654–663). https://doi.org/10.1007/978-3-540-69389-5_73
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