An adaptive chaotic differential evolution algorithm for layout optimization with equilibrium constraints

	An adaptive chaotic differential evolution algorithm for layout optimization with equilibrium constraints
	Yang Q.; Wang M.; Qiao B.
	2013
发表期刊	Journal of Computational Information Systems
ISSN	ISBN/15539105
卷号	9 期号:15
摘要	Circles, two dimensions with equilibrium and noninterference constraints, packing into a circular container is a NP-hard constrained layout optimization problem. That has broad application in engineering. Classical Differential Evolution (DE) for solving these problems is readily falling into local optima. An adaptive chaotic DE algorithm is proposed to improve the performance in this paper. The weighting parameters are changed dynamically with chaotic mutation in the searching procedure. The penalty factors of the cost function are modified during iteration. To keep the diversity of the population, we limit the population's concentration. To enhance the local search capability we adopt adaptive mutation of the global optimal individual. The improved algorithm can maintain the basic algorithm's structure as well as extend the search scope, and can hold the diversity of population as well as increase the search precision. Also, our improved algorithm can escape from premature and speedup the convergence. Experiments indicate the feasibility and efficiency of our algorithm. 2013 Binary Information Press.
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/40546
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Yang Q.,Wang M.,Qiao B.. An adaptive chaotic differential evolution algorithm for layout optimization with equilibrium constraints[J]. Journal of Computational Information Systems,2013,9(15).
APA	Yang Q.,Wang M.,&Qiao B..(2013).An adaptive chaotic differential evolution algorithm for layout optimization with equilibrium constraints.Journal of Computational Information Systems,9(15).
MLA	Yang Q.,et al."An adaptive chaotic differential evolution algorithm for layout optimization with equilibrium constraints".Journal of Computational Information Systems 9.15(2013).

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