DocumentCode :
3374673
Title :
A Genetic Algorithm with Dual-Structure Code and Adaptive Strategy for Link Enhancement Problem
Author :
Liu, Yuhua ; Teng, Wei ; Xu, Kaihua ; Zhu, Haiyan
Author_Institution :
Dept. of Comput. Sci., Central China Normal Univ., Wuhan
Volume :
2
fYear :
2006
fDate :
20-24 June 2006
Firstpage :
699
Lastpage :
705
Abstract :
Link enhancement problem is a combinatorial optimization problem, and genetic algorithm is suitable to solve the combinatorial optimization problem. Commonly, the genetic algorithms are adopt one dimension code, this paper adopt the dual-structure code and adaptive probabilities of crossover and mutation to solve the link enhancement problem. In the simulation experiment, we compare the performance of dual-structure code genetic algorithm and one dimension code genetic algorithm
Keywords :
combinatorial mathematics; computer networks; genetic algorithms; probability; telecommunication links; telecommunication network topology; adaptive probability; combinatorial optimization problem; computer networks; dual-structure code; genetic algorithm; link enhancement problem; one dimension code; Application software; Computational modeling; Computer networks; Computer science; Costs; Genetic algorithms; Genetic mutations; Linearity; Network topology; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
Type :
conf
DOI :
10.1109/IMSCCS.2006.151
Filename :
4673788
Link To Document :
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