中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Neural network approach for allocation with capacity

文献类型:期刊论文

作者Gong, DJ; Gen, MS; Yamazaki, G; Xu, WX
刊名COMPUTERS & INDUSTRIAL ENGINEERING
出版日期1996
卷号31期号:40972页码:6,849-854
关键词Neural Network Allocation Integer Programming Penalty Function Method Augmented Lagrangian Multiplier Method
ISSN号0360-8352
英文摘要In this paper we discuss neural network approach for allocation with capacity constraints problem. This problem can be formulated as zero-one integer programming problem. We transform this zero-one integer programming problem into an equivalent nonlinear programming problem by replacing zero-one constraints with quadratic concave equality constraints. We propose two kinds of neural network structures based on penalty function method and augmented Lagrangian multiplier method, and compare them by theoretical analysis and numerical simulation. We show that penalty function based neural network approach is not good to combinatorial optimization problem because it falls in the dilemma whether terminating at an infeasible solution or sticking at any feasible solution, and augmented Lagrangian multiplier method based neural network can alleviate this suffering in some degree.
学科主题Computer Science, Interdisciplinary Applications ; Engineering, Industrial
语种英语
公开日期2012-11-12
源URL[http://ir.casipm.ac.cn/handle/190111/5427]  
专题科技战略咨询研究院_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, MS,Yamazaki, G,et al. Neural network approach for allocation with capacity[J]. COMPUTERS & INDUSTRIAL ENGINEERING,1996,31(40972):6,849-854.
APA Gong, DJ,Gen, MS,Yamazaki, G,&Xu, WX.(1996).Neural network approach for allocation with capacity.COMPUTERS & INDUSTRIAL ENGINEERING,31(40972),6,849-854.
MLA Gong, DJ,et al."Neural network approach for allocation with capacity".COMPUTERS & INDUSTRIAL ENGINEERING 31.40972(1996):6,849-854.

入库方式: OAI收割

来源:科技战略咨询研究院

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