Effect of genetic algorithm parameters on PCS network planning

Juan Li; Yong Liang Guan; Boon Hee Soong

doi:10.1109/LCN.2000.891074

Effect of genetic algorithm parameters on PCS network planning

Juan Li, Yong Liang Guan, Boon Hee Soong

Nanyang Technological University

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

In this paper 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 algorithms, one of the problems is its convergence behavior 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.

Original language	English
Pages (from-to)	400-404
Number of pages	5
Journal	Conference on Local Computer Networks
DOIs	https://doi.org/10.1109/LCN.2000.891074
Publication status	Published - 2000
Externally published	Yes

ASJC Scopus Subject Areas

Electrical and Electronic Engineering
Software

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10.1109/LCN.2000.891074

Cite this

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abstract = "In this paper 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 algorithms, one of the problems is its convergence behavior 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.",

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Effect of genetic algorithm parameters on PCS network planning

Abstract

ASJC Scopus Subject Areas

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