The graph coloring problem:: A neuronal network approach

被引:18
|
作者
Talavan, Pedro M. [2 ]
Yanez, Javier [1 ]
机构
[1] Univ Complutense, Dept Stat & Operat Res, E-28040 Madrid, Spain
[2] Minist Econ & Finance, Madrid 28014, Spain
关键词
artificial neural networks; Hopfield network; graph coloring problem;
D O I
10.1016/j.ejor.2007.08.034
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Solution of an optimization problem with linear constraints through the continuous Hopfield network (CHN) is based on an energy or Lyapunov function that decreases as the system evolves until a local minimum value is attained. This approach is extended in to optimization problems with quadratic constraints. As a particular case, the graph coloring problem (GCP) is analyzed. The mapping procedure and an appropriate parameter-setting procedure are detailed. To test the theoretical results, some computational experiments solving the GCP are shown. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:100 / 111
页数:12
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