Heterogeneous variable-length genotypes for evolutionary optimization

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2004Publisher:IEEEJournal:Proceedings of the Fourth International Workshop on Robot Motion and Control (IEEE Cat. No.04EX891)

Authors: Sophie Sakka;

doi: 10.1109/romoco.2004.240570

Heterogeneous variable-length genotypes for evolutionary optimization

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Abstract

This paper deals with evolutionary programming for optimization problems. The algorithm manipulates chromosomes of which genotypes contains heterogeneous data (integer and float numbers), depending on each other. Moreover, length of the chromosomes is different within a common evolution. The evolutionary algorithm is described and optimization results are compared to the previously implemented methodology. Stability of the algorithm facing a change of problem dimensions is also tested and discussed.

Related Organizations

National Institute of Advanced Industrial Science and Technology
Japan

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