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