DocumentCode :
493705
Title :
VRP Problem with Time Windows in the Logistics and Distribution Solved by Immune Ant Colony Algorithm
Author :
Jun, Zhi ; Jian-yong, Liu ; Jing, Yu ; Le, Jing ; Hai-lu, Du
Volume :
2
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
692
Lastpage :
696
Abstract :
Draw lessons from the immune mechanism of living beings and combine the principle that ants looking for food and put forward the immune ant colony algorithms to solve the logistics and distribution. Use immune mechanism to draw the vaccine while the ants search, and carry on immunity operation to the evolved population and raise the search ability and convergent of the ant colony algorithm to the optimum solve of the overall situation. It adopts the adaptive mutation, multiple point crossover, and the genetic tactic of protecting excellent between generations, it strengthens the stability and fast of evolution.
Keywords :
logistics; optimisation; transportation; VRP problem; genetic tactic; immune ant colony algorithm; search ability; time windows; Computer science education; Educational technology; Intelligent vehicles; Logistics; Marine vehicles; Mathematical model; Paper technology; Stability; Underwater vehicles; Vaccines; immune ant colony algorithm; time windows;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.414
Filename :
4959129
Link To Document :
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