DocumentCode :
1618412
Title :
A Hybrid Algorithm of ACO and Delete-Cross Method for TSP
Author :
Junqiang, Wu ; Aijia, Ouyang
Author_Institution :
Coll. of Math., Phys. & Inf. Eng., Jiaxing Univ., Jiaxing, China
fYear :
2012
Firstpage :
1694
Lastpage :
1696
Abstract :
A hybrid ant colony algorithm (HACO) which is containing ant colony algorithm (ACO) and delete-cross method which is used to speed the convergence of local search is presented for the shortcoming that the convergence speed of ant colony algorithm (ACO) is a bit slow. The experiment results have indicated that HACO has better performance than six versions of ant colony algorithm (ACO) on searching the shortest paths, error and robustness in the test of typical TSPs.
Keywords :
ant colony optimisation; computational complexity; directed graphs; search problems; travelling salesman problems; HACO; NP-complete problems; TSP; delete-cross method; hybrid ant colony algorithm; local search convergence; shortest path searching; traveling salesman problem; Industrial control; Ant colony optimization; Delete-cross; Hybrid algorithm; TSP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
Type :
conf
DOI :
10.1109/ICICEE.2012.448
Filename :
6322738
Link To Document :
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