Effect of genetic algorithm parameters on PCS network planning

Author

Li, Juan ; Guan, Yong Liang ; Soong, Boon Hee

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore

fYear

2000

fDate

2000

Firstpage

400

Lastpage

404

Abstract

A study on the effect of genetic parameters is carried out in order to find the optimum value of the parameters in genetic algorithms for solving personal communication service network planning problems. As for any genetic algorithm, one of the problems is its convergence behavior which is affected by many factors including the genetic parameters. The selection of these genetic parameters is generally quite ad hoc. However, we find in this study that proper parameter selection is critical because they significantly affect the convergence and optimality of the solution obtained

Keywords

convergence of numerical methods; genetic algorithms; optimisation; personal communication networks; telecommunication network planning; Monte Carlo simulation; PCS network planning; convergence behavior; genetic algorithm parameters; genetic parameters; optimal solution; parameter selection; personal communication service; Base stations; Cost function; Genetic algorithms; Genetic mutations; Personal communication networks; Quality of service; Signal design; Technology planning; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Local Computer Networks, 2000. LCN 2000. Proceedings. 25th Annual IEEE Conference on

Conference_Location

Tampa, FL

ISSN

0742-1303

Print_ISBN

0-7695-0912-6

Type

conf

DOI

10.1109/LCN.2000.891074

Filename

891074