会议专题

Comparative Analysis of Selective Clonal Mutation with Conventional GA Operators in Solar Tracking Environment

Genetic Algorithm (GA) belongs to elementary stochastic optimization algorithms inspired by evolution.lt points out the ability of simple representations using bit strings to encode complicated structures and the power of simple transformations to reach the desired solution. Research shows that a new operator namely Selective Clonal Mutation (SCM) for better genetic solutions has been successfully developed so that faster convergence to the best desired solution could be obtained.This operator has produced the best fitness value as compared to the conventional genetic algorithm result within 50 generation, Selective Clonal Mutation (SCM) is able to produce the best fitness value at 0.01731 with optimum voltage 10.05V in solar tracking environment.

Genetic Algorithm solar tracking Selective clonal mutation

D.F.Fam S.P.Koh S.K.Tiong K.H.Chong

Department of Electronic & Communication Engineering,Universiti Tenaga Nasional,Km 7,Jalan Ikram-Uniten,43009,Kajang,Selangor,Malaysia

国际会议

2011 2nd International Conference on Material and Manufacturing Technology(2011第二届材料与制造技术国际会议 ICMMT2011)

厦门

英文

456-461

2011-07-08(万方平台首次上网日期,不代表论文的发表时间)