摘要
鉴于经典遗传算法、粒子群优化算法、差分演化算法和多父体杂交算法中的操作算子均存在多父体杂交的共性,提出参数和的概念,参数和可以刻画不同的操作算子,也可改变算法的搜索策略.数值实验表明根据参数和所构造的统一的多父体杂交算法具有较好的效率.
It was found that simple genetic algorithm,particle swarm optimization one,differential evolution one and multi-parent crossover one have their common character：there were multi-parent combination in them.Therefore,a new concept ＂total value of parameters＂ was proposed to drew the differences of algorithms and used to change the searching strategy of algorithms.Experiment result shows that the unified multi-parent combination algorithm based on the ＂total value of parameters＂ can obtain good efficiency.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第12期98-101,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
广东省科技计划资助项目(2010B080701057)
广东省教育厅育苗工程资助项目(LYM10078))
关键词
遗传算法
粒子群优化
差分演化
统一的多父体杂交算法
操作算子
参数和
genetic algorithm particle swarm optimization differential evolution unified multi-parent combination algorithm genetic operator total values of parameter
