Assignment of cells to switches in a cellular mobile network using a hybrid Hopfield network-genetic algorithm approach

被引：14

作者：

Salcedo-Sanz, Sancho ^{[1
]}

Yao, Xin

机构：

[1] Univ Alcala de Henares, Dept Signal Theory & Communicat, E-28871 Madrid, Spain

[2] Univ Birmingham, Sch Comp Sci, Ctr Res Computat Intelligence & Applicat, Nature Inspired Computat & Applicat Lab, Birmingham B15 2TT, W Midlands, England

[3] Univ Sci & Technol China, Hefei 230027, Peoples R China

来源：

APPLIED SOFT COMPUTING | 2008年 / 8卷 / 01期

基金：

中国国家自然科学基金;

关键词：

cellular networks; cell-to-switch assignment; Hopfield neural networks; genetic algorithms;

D O I：

10.1016/j.asoc.2007.01.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Handoff and cabling cost management plays a key role in the design of cellular telecommunications networks. The efficient assignment of cells to switches in this type of networks is an NP-complete problem which cannot be solved efficiently unless P = NP. This paper presents a hybrid Hopfield network-genetic algorithm approach to the cell-to-switches assignment problem, in which a Hopfield network manages the problem's constraints, and a genetic algorithm searches for high quality solutions with the minimum possible cost in terms of handoff and cable displayed. We show, by means of computational experiments, the good performance of our approach to this problem. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：216 / 224

页数：9

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