An improved Shuffled complex evolution algorithm and its performance analysis

	An improved Shuffled complex evolution algorithm and its performance analysis
	Zhao, Fuqing1,2 ; Zhang, Jianlin1
	2012-10-15
发表期刊	Journal of Computational Information Systems
ISSN	15539105
卷号	8 期号:20 页码:8495-8502
摘要	Shuffled Complex Evolution (SCE) has been used widely and proved to be a robust and efficient global optimization algorithm. In this paper, an improved Shuffled Complex Evolution is proposed. The new method, by changing the strategy of generating new points, is presented to guarantee the convergence rate, and improve the quality of solution, while avoiding the probability of getting trapped in local solution during the process of optimization. The efficiency of the new method is analyzed in terms of the quality of solution and the generation of evolution, in comparison with the classical Shuffled complex evolution (SCE) algorithm using six benchmark optimization functions. Simulation results indicate that the new method improves the search performance on the six benchmark function. © 2012 Binary Information Press.
关键词	Evolutionary algorithms Optimization Benchmark functions Convergence rates Downhill simplex Efficient global optimization Optimization algorithms Optimization function Performance analysis Quality of solution Search performance Shuffled Complex Evolution Shuffled complex evolution algorithms
收录类别	EI
语种	英语
出版者	Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States
EI入藏号	20124515655454
EI主题词	Benchmarking
EI分类号	723 Computer Software, Data Handling and Applications - 912 Industrial Engineering and Management - 913 Production Planning and Control ; Manufacturing - 921 Mathematics - 921.5 Optimization Techniques
来源库	Compendex
分类代码	723 Computer Software, Data Handling and Applications - 912 Industrial Engineering and Management - 913 Production Planning and Control; Manufacturing - 921 Mathematics - 921.5 Optimization Techniques
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/111350
专题	国际合作处（港澳台办）教务处（创新创业学院）
作者单位	1.School of Computer and Communication Technology, Lanzhou University of Technology, Lanzhou 730050, China; 2.Key Laboratory of Contemporary Design, Integrated Manufacturing Technology, Northwestern Polytechnical University, 710072, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhao, Fuqing,Zhang, Jianlin. An improved Shuffled complex evolution algorithm and its performance analysis[J]. Journal of Computational Information Systems,2012,8(20):8495-8502.
APA	Zhao, Fuqing,&Zhang, Jianlin.(2012).An improved Shuffled complex evolution algorithm and its performance analysis.Journal of Computational Information Systems,8(20),8495-8502.
MLA	Zhao, Fuqing,et al."An improved Shuffled complex evolution algorithm and its performance analysis".Journal of Computational Information Systems 8.20(2012):8495-8502.