摘要
通过改变初始种群的产生过程,并对目标个体的变异、交叉操作过程进行改进,包括变异修复、变异个体取舍、中间个体处理、控制参数(试验时间)调整,给出了改进差分进化算法.通过试验详细分析了各个控制参数对算法寻优性能的影响.
By changing the process for generating initial population, four aspects of improvement were made on mutation operator and crossover operator for individuals, which included mutation operator repairing, mutation individuals choosing, temporary indi- viduals processing and adjusting control parameter( test times). An improved differential evolution algorithm was proposed, and the effects of all kinds of parameters on the performance of improved differential evolution was analyzed in detail through experiment.
出处
《福建农林大学学报(自然科学版)》
CSCD
北大核心
2013年第4期438-441,共4页
Journal of Fujian Agriculture and Forestry University:Natural Science Edition
关键词
种群
变异
交叉
选择
population
mutation
crossover
selection