A memetic differential evolution algorithm with adaptive mutation operator

	A memetic differential evolution algorithm with adaptive mutation operator
	Zhao, Fuqing 1,2; Huo, Mingming 2; Ma, Weijun 2
刊名	Research Journal of Applied Sciences, Engineering and Technology
	2012
卷号	4 期号:19 页码:3687-3691
关键词	Engineering Adaptive mutation operators Coding mechanism Convergence speed Differential evolution algorithms Diversity of populations Local extreme values Memetic algorithms Self-adaptive
ISSN号	20407459
英文摘要	Differential evolution algorithm has been widely used, because of its efficient optimization and no complex operation and coding mechanism. But DE falls into the local optimum easily. So this study puts forward a memetic algorithm. The algorithm can increase the diversity of population and jump out the local extreme value point effectively. The convergence speed of the algorithm is improved, because of the selfadaptive operator which can adjust the scaling factor adaptively. Three classic benchmarks functions are used to evaluate the MMADE and basic differential evolution algorithm. The experimental results show that the MMADE algorithm is effective. © Maxwell Scientific Organization, 2012.
语种	英语
出版者	Maxwell Science Publications
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/111341]
专题	国际合作处（港澳台办）
作者单位	1.Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, 710072, China 2.School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China;
推荐引用方式 GB/T 7714	Zhao, Fuqing,Huo, Mingming,Ma, Weijun. A memetic differential evolution algorithm with adaptive mutation operator[J]. Research Journal of Applied Sciences, Engineering and Technology,2012,4(19):3687-3691.
APA	Zhao, Fuqing,Huo, Mingming,&Ma, Weijun.(2012).A memetic differential evolution algorithm with adaptive mutation operator.Research Journal of Applied Sciences, Engineering and Technology,4(19),3687-3691.
MLA	Zhao, Fuqing,et al."A memetic differential evolution algorithm with adaptive mutation operator".Research Journal of Applied Sciences, Engineering and Technology 4.19(2012):3687-3691.