Parameter optimization of an evolutionary algorithm for RNA structure discovery

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 28 Sep 2004Publisher:IEEEJournal:Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)

Authors: Gary B. Fogel; Dana G. Weekes; Rangarajan Sampath; David J. Ecker;

doi: 10.1109/cec.2004.1330913

Parameter optimization of an evolutionary algorithm for RNA structure discovery

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Abstract

This paper focuses on the optimization of population and selection parameters of an evolutionary algorithm for similar RNA structure discovery. The effects of population settings such as the number of parents and number of offspring per parent, and method of selection (tournament vs. elitist) on the rate of convergence were investigated relative to a problem with a known RNA structure solution. The results indicate that proper setting of the number of parents and offspring can be used to increase the efficiency of the evolutionary process.

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