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基于双种群黄金分割优化的遗传算法及其应用
GA and Its Application Based on Dual Population of Golden Division
【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。
【Abstract】 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.
【关键词】 双种群遗传算法;
黄金分割率;
人口迁移;
模糊控制器;
【Key words】 dual population genetic algorithm (DPGA); golden division; population move; fuzzy controller.;
【Key words】 dual population genetic algorithm (DPGA); golden division; population move; fuzzy controller.;
【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)。
- 【文献出处】 电子测量与仪器学报 ,Journal of Electronic Measurement and Instrument , 编辑部邮箱 ,2005年06期
- 【分类号】TP18
- 【被引频次】16
- 【下载频次】182