DocumentCode :
2583707
Title :
A Genetic algorithm for a vehicle routing problem on a real application of Bakery delivery
Author :
Tunjongsirigul, Bell ; Pongchairerks, Pisut
Author_Institution :
Ind. Eng. Program, Thammasat Univ., Pathum Thani, Thailand
fYear :
2010
fDate :
7-10 May 2010
Firstpage :
214
Lastpage :
217
Abstract :
This research considers a vehicle routing problem of a real application taken from Thai Bakery Company. This vehicle routing problem is to find a route for delivering bakeries from a single depot to the company´s customers. The objective of the problem is to the delivery route such that minimize the total distance and, as a consequence, minimize the total number of vehicles used. To achieve the objective, this research applies Genetic algorithm (GA). Genetic algorithm (GA) has been applied to develop a modified-GA approach to make the routing in order to minimize the total corresponding distance. The GA proposed in this research is evaluated by using data taken from the real situation and compared with the typical routing technique. The comparison result reveals that the proposed GA generates better solution than the typical routing technique.
Keywords :
genetic algorithms; minimisation; transportation; Thai Bakery Company; bakery delivery application; distance minimization; genetic algorithm; vehicle minimization; vehicle routing problem; Electronic mail; Genetic algorithms; Industrial engineering; Routing; Vehicles; Bakery Delivery; Modified Genetic Algorithm; Single Depot Vehicle Routing Problem (SDVRP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Computer Technology (ICECT), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7404-2
Electronic_ISBN :
978-1-4244-7406-6
Type :
conf
DOI :
10.1109/ICECTECH.2010.5479956
Filename :
5479956
Link To Document :
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