DocumentCode
2999957
Title
Vehicle routing problem research based on genetic-ant colony algorithm
Author
Liangzhi, Zhang ; Yimeng, Hou ; Peide, Li
Author_Institution
Dept. of Traffic & Logistic, Shandong Jiaotong Univ., Jinan
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
1946
Lastpage
1950
Abstract
To resolve vehicle routing problem in logistic field, genetic arithmetic and ant colony arithmetic are often employed, and each runs with merit and defect. In the paper, two algorithm thinking are integrated based on each trait. Firstly a rapid and excellent solution arises in anterior genetic operation, and initial information elements derive from the solution, and then ant colony arithmetic starts. Varietal genetic operation is also introduced to ant computing to avoid immersing into local top. Simulate test prove validity and efficiency of the arithmetic.
Keywords
arithmetic; cooperative systems; genetic algorithms; logistics; transportation; ant colony arithmetic; anterior genetic operation; genetic arithmetic; genetic-ant colony Algorithm; logistic field; vehicle routing problem; Arithmetic; Automation; Computational modeling; Costs; Genetic algorithms; Logistics; Routing; Testing; Transportation; Vehicles; ant colony arithmetic; combination of arithmetic; genetic arithmetic; vehicle routing problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636479
Filename
4636479
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