摘要
针对遗传算法易出现局部最优和早熟现象,提出了一种改进型的双种群遗传算法,并将其应用在模糊控制器的量化因子的在线自寻优上,实例证明该算法具有很好的寻优能力和较高的搜索效率。
With the analysis of premature convergence of genetic algorithm, a new selection strategy is proposed. This strategy adopted the dual populationgenetic algorithm （DPGA）, which makes the population move based on golden division role to exploit in new space successively. In order to examine the effectiveness of the dual population genetic algorithm （DPGA）, it is applied into the optimal design for fuzzy logical controller. The simulation results showed excellent capability and efficiently.
出处
《电子测量与仪器学报》
CSCD
2005年第6期103-105,102,共4页
Journal of Electronic Measurement and Instrumentation
基金
福建省自然科学基金和华侨大学自然科学基金资助项目(编号:A0540004)。
关键词
双种群遗传算法
黄金分割率
人口迁移
模糊控制器
dual population genetic algorithm （DPGA）
golden division
population move
fuzzy controller.
