Clonal Selection Approach with Mutations Based on Symmetric α-Stable Distributions for Non-stationary Optimization Tasks

Authors:
Krzysztof Trojanowski
Affiliations:
Institute of Computer Science, Polish Academy of Sciences, Ordona 21, 01-237 Warsaw, Poland
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Year:
2007

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Abstract

Efficiency of two mutation operators applied in a clonalselection based optimization algorithm AIIA for non-stationarytasks is investigated. In both operators traditional Gaussianrandom number generator was exchanged by α-stablerandom number generator and thus αbecame one of theparameters of the algorithm. Obtained results showed thatappropriate tuning of the αparameter allows tooutperform the results of algorithms with the traditionaloperators.