IMPROVED GENETIC ALGORITHM BASED ON THE SMALL GROUP PARALLEL

被引：0
|
作者：
Wang, Jiekai [1 ]
机构：
[1] Harbin Normal Univ, Sch Math Sci, Harbin, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, MEASUREMENT, CIRCUITS AND SYSTEMS (ICIMCS 2011), VOL 3: COMPUTER-AIDED DESIGN, MANUFACTURING AND MANAGEMENT | 2011年
关键词：
genetic algorithm; precocity; genetic operators; small population parallel;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
As the adaptive algorithm based on the mechanism of biological evolution, genetic algorithm is applicable to optimization of all kinds of complex systems. However, due to the fact that standard genetic algorithm is precocious and apt to fall into local optimum, etc, which has limited the promotion and application of genetic algorithm to a certain extent. In this paper, based on the improvement of genetic operators, we proposed the improved genetic algorithm based on the small group parallel, thereby effectively improving its efficiency and performance.
引用
收藏
页码：419 / 422
页数：4
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