摘要
针对传统差分进化算法搜索速度慢、易陷入局部最优解的缺点,引入协同演化的思想提出了一个基于并行协同演化的差分进化算法,并设计了相应的变异算子和自适应交叉算子。仿真验证结果表明:同遗传算法、标准差分进化算法相比,所提算法在搜索速度和寻优能力方面都具有一定的优势。
In order to overcome the problems such as long computing time and easy to fall into local best for traditional Differential Evolution （DE） algorithm, cooperative evolution is introduced and proposed a Parallel Coop- erative Differential Evolution （PCDE） algorithm. Meanwhile, the mutation operator and the adaptive crossover oper- ator were designed. The simulation results of example indicate that PCDE has more search speed and stronger opti- mization ability than GA and DE.
出处
《科学技术与工程》
北大核心
2012年第34期9211-9214,共4页
Science Technology and Engineering
关键词
差分进化
协同演化
遗传算法
differential evolution cooperative evolution GA
