DocumentCode
2481673
Title
A new ant colony optimization approach for the orienteering problem
Author
Ke, Liangjun ; Feng, Zuren
Author_Institution
State key Lab. of Manuf. Syst. Eng., Xi´´an Jiaotong Univ., Xi´´an
fYear
2008
fDate
25-27 June 2008
Firstpage
2027
Lastpage
2032
Abstract
In this paper, a novel ant colony optimization algorithm is proposed for the orienteering problem. This algorithm can adaptively choose the lower trail limit to avoid stagnation. To study its performance, we compare the proposed algorithm to max-min ant system with and without re-initialization. The experimental results demonstrate that the performance of our algorithm is competitive.
Keywords
artificial intelligence; optimisation; ant colony optimization; max-min ant system; orienteering problem; Ant colony optimization; Chemicals; Costs; Intelligent control; Iterative algorithms; Laboratories; Manufacturing automation; Manufacturing systems; Quality management; Systems engineering and theory; Ant colony optimization; orienteering problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593236
Filename
4593236
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