DocumentCode
3472128
Title
Integration of fuzzy theory and ant algorithm for vehicle routing problem with time window
Author
Kuo, R.J. ; Chiu, C.Y. ; Lin, Y.J.
Author_Institution
Dept. of Ind. Eng. & Manage., Nat. Taipei Univ. of Technol., Taiwan
Volume
2
fYear
2004
fDate
27-30 June 2004
Firstpage
925
Abstract
This study intends to apply ant colony optimization algorithm for vehicle routing problem with time window. Fuzzy sets theory is employed to transform time variables into fuzzy variables and then search the shortest vehicle route. The evaluation results showed that setting service level between 70% and 90% has the better result. Besides, the analysis of route and the interval of time window have great impact on the result of route planning.
Keywords
fuzzy set theory; logistics; optimisation; transportation; ant colony optimization algorithm; fuzzy set theory; fuzzy variables; route planning; shortest vehicle route; time variable transformation; time window interval; vehicle routing problem; Ant colony optimization; Automotive engineering; Customer satisfaction; Fuzzy set theory; Logistics; Manufacturing industries; Routing; Technology management; Transportation; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN
0-7803-8376-1
Type
conf
DOI
10.1109/NAFIPS.2004.1337428
Filename
1337428
Link To Document