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2009 International Joint Conference on Computational Sciences and Optimization
Course Optimization Based on Improved Immune Genetic Algorithm
Sanya, Hainan, China
April 24-April 26
ISBN: 978-0-7695-3605-7
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.
Index Terms:
course optimization, immune genetic algorithm
Citation:
Jun Zhi, Jianyong Liu, Kai Chen, Zhen Wang, Duodian Wang, "Course Optimization Based on Improved Immune Genetic Algorithm," cso, vol. 1, pp.660-662, 2009 International Joint Conference on Computational Sciences and Optimization, 2009
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