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《Journal of Baoji College of Arts and Science(Natural Science Edition)》 2005-02
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Multi-population evolution genetic algorithm based on real coding

LIU Chun-an,YANG Jian-hong (Dept. Math., Baoji Univ. Arts & Sci., Baoji 721007,Shaanxi,China)  
In order to improve the problems of simple genetic algorithm (SGA) such as premature convergence, rough result and low speed of calculation, a multi-population evolution genetic algorithm based on real coding (RMGA) is presented. Application examples show that RMGA is more efficient and robust than SGA.
【Fund】: 宝鸡文理学院院级科研计划项目(JK2439);; 宝鸡文理学院中青年科研计划项目(QK2407)
【CateGory Index】: TP18
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