Assessment of evolutionary programming models for single-objective optimization

作者: Nur Izzati Abdul Aziz , Shahril Irwan Sulaiman , Ismail Musirin , Sulaiman Shaari

DOI: 10.1109/PEOCO.2013.6564562

关键词:

摘要: This paper presents an assessment of different evolutionary programming (EP) techniques for solving single-objective optimization problem. Evolutionary has been widely used and applied with success in many kinds However there is no benchmark to test which EP models will give a better result single objective optimization. Three distinct are classical (CEP), fast (FEP) improved (IFEP). These considered here differ terms search operator-Gaussian, Cauchy mixed Gaussian-Cauchy during mutation process. Therefore, selected functions as perform The three showed that FEP very good having lowest computation time significantly than CEP IFEP fitness solution.

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