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Comparison of tabu search and geneti...

Nguyen, Khoa Dang.

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Comparison of tabu search and genetic algorithm in mobile network design.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Comparison of tabu search and genetic algorithm in mobile network design./
Author:	Nguyen, Khoa Dang.
Description:	81 p.
Notes:	Source: Masters Abstracts International, Volume: 42-03, page: 0970.
Contained By:	Masters Abstracts International42-03.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1417048

Comparison of tabu search and genetic algorithm in mobile network design.
Nguyen, Khoa Dang.

Comparison of tabu search and genetic algorithm in mobile network design. - 81 p.

Source: Masters Abstracts International, Volume: 42-03, page: 0970.

Thesis (M.Eng.)--University of Louisville, 2003.

This thesis will explore two methods of designing a mobile wireless network. The approaches used in designing their wireless networks are tabu search and genetic algorithm. Both of these methods are widely used for global optimization problems. A detailed network optimization framework is developed for designing wireless network. This optimization problem is then solved using genetic algorithm and tabu search. The designs from the two methods are compared with each other to compare which optimization performs better.Subjects--Topical Terms:

626642
Computer Science.

Comparison of tabu search and genetic algorithm in mobile network design.
LDR:01576nmm 2200277 4500 001 1863568
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008 130614s2003 eng d
035 $a (UnM)AAI1417048
035 $a AAI1417048
040 $a UnM $c UnM
100 1 $a Nguyen, Khoa Dang. $3 1951086
245 1 0 $a Comparison of tabu search and genetic algorithm in mobile network design.
300 $a 81 p.
500 $a Source: Masters Abstracts International, Volume: 42-03, page: 0970.
500 $a Director: Anup Kumar.
502 $a Thesis (M.Eng.)--University of Louisville, 2003.
520 $a This thesis will explore two methods of designing a mobile wireless network. The approaches used in designing their wireless networks are tabu search and genetic algorithm. Both of these methods are widely used for global optimization problems. A detailed network optimization framework is developed for designing wireless network. This optimization problem is then solved using genetic algorithm and tabu search. The designs from the two methods are compared with each other to compare which optimization performs better.
520 $a From the study of the results of this experiment, both of the methods can find a good framework of a mobile wireless network. They both converge at about the same rate. Therefore, they are equal in performance.
590 $a School code: 0110.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, System Science. $3 1018128
690 $a 0984
690 $a 0790
710 2 0 $a University of Louisville. $3 1017614
773 0 $t Masters Abstracts International $g 42-03.
790 1 0 $a Kumar, Anup, $e advisor
790 $a 0110
791 $a M.Eng.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1417048