Lagrangian ANN for convex programming with linear constraints

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	Lagrangian ANN for convex programming with linear constraints
	Gong, DJ; Gen, M; Yamazaki, G; Xu, WX
发表期刊	COMPUTERS & INDUSTRIAL ENGINEERING
摘要	Convex programming with linear constraints represents a large class of optimization problems which have wide applications, such as linear programming, quadratic programming and some network flow programming problems. In this paper we discuss the artificial neural network approach based on the Lagrangian multiplier method (Lagrangian ANN) to it. The emphases of the paper are on analysing the defect of premature of the conventional Lagrangian ANN and giving a new modification to it in order to overcome its premature defect. We prove that this modified Lagrangian ANN can always give the optimal solution. Numerical simulations demonstrate the effectiveness of the proposed modification. (C) 1997 Elsevier Science Ltd.
	1997
卷号	32 期号:2 页码:15,429-443
ISSN	0360-8352
学科领域	Computer Science, Interdisciplinary Applications ; Engineering, Industrial
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.casisd.cn/handle/190111/5431
专题	中国科学院科技政策与管理科学研究所(1985年6月-2015年12月)
推荐引用方式 GB/T 7714	Gong, DJ,Gen, M,Yamazaki, G,et al. Lagrangian ANN for convex programming with linear constraints[J]. COMPUTERS & INDUSTRIAL ENGINEERING,1997,32(2):15,429-443.
APA	Gong, DJ,Gen, M,Yamazaki, G,&Xu, WX.(1997).Lagrangian ANN for convex programming with linear constraints.COMPUTERS & INDUSTRIAL ENGINEERING,32(2),15,429-443.
MLA	Gong, DJ,et al."Lagrangian ANN for convex programming with linear constraints".COMPUTERS & INDUSTRIAL ENGINEERING 32.2(1997):15,429-443.

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