DocumentCode :
496338
Title :
Course Optimization Based on Improved Immune Genetic Algorithm
Author :
Zhi, Jun ; Liu, Jianyong ; Chen, Kai ; Wang, Zhen ; Wang, Duodian
Author_Institution :
PLA Univ. of Sci. & Technol., Nanjing, China
Volume :
1
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
660
Lastpage :
662
Abstract :
On the basis of describing the course optimization model of the island goods transport, it proposes the improved immune genetic algorithm. We apply a new touring route encoding method and heuristic mutation operator based on the triangle shown, niche technique to improve the immune algorithm. The experimental result indicates that the immune genetic algorithm performance has obvious advancement after being improved.
Keywords :
genetic algorithms; transportation; course optimization; heuristic mutation operator; immune genetic algorithm; island goods transport; niche technique; touring route encoding method; Design optimization; Encoding; Finishing; Genetic algorithms; Genetic mutations; Mathematical model; Mathematics; Navigation; Programmable logic arrays; Transportation; course optimization; immune genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.395
Filename :
5193781
Link To Document :
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