DocumentCode :
2721475
Title :
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
Link To Document :
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