PCS network planning using genetic algorithm
In this thesis the author has addressed the Personal Communication Services (PCS) network-planning problem as a complex combinational optimization problem. In this thesis, we have also modeled the channel assignment as a complex optimization problem and proposed a GA based on character coding method...
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sg-ntu-dr.10356-46432023-07-04T15:43:14Z PCS network planning using genetic algorithm Li, Juan. Soong, Boon Hee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems In this thesis the author has addressed the Personal Communication Services (PCS) network-planning problem as a complex combinational optimization problem. In this thesis, we have also modeled the channel assignment as a complex optimization problem and proposed a GA based on character coding method. Master of Engineering 2008-09-17T09:55:51Z 2008-09-17T09:55:51Z 2002 2002 Thesis http://hdl.handle.net/10356/4643 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Li, Juan. PCS network planning using genetic algorithm |
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In this thesis the author has addressed the Personal Communication Services (PCS) network-planning problem as a complex combinational optimization problem. In this thesis, we have also modeled the channel assignment as a complex optimization problem and proposed a GA based on character coding method. |
author2 |
Soong, Boon Hee |
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Soong, Boon Hee Li, Juan. |
format |
Theses and Dissertations |
author |
Li, Juan. |
author_sort |
Li, Juan. |
title |
PCS network planning using genetic algorithm |
title_short |
PCS network planning using genetic algorithm |
title_full |
PCS network planning using genetic algorithm |
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PCS network planning using genetic algorithm |
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PCS network planning using genetic algorithm |
title_sort |
pcs network planning using genetic algorithm |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4643 |
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1772828876107415552 |