In many cities, large trucks cant be used to delivery in the urban district, but in the suburbs all kinds of vehicles can be used. To solve the problem, this paper establishes the optimization model and designs a solving method using a genetic algorithm (GA), taking Zigong tobacco distribution center for example. Comparing with the data calculated by empirical distribution route, the results show that the total distance declines 155.47 km, the number of different type vehicles reduces 1-2 and the average load rate increased by 68.3% to 85.1%.
Study on Optimization of Vehicle Routing Problem with Multiple Vehicle Type and Vehicle Access Restricted Based on Genetic Algorithm
Applied Mechanics and Materials ; 373-375 ; 1031-1035
2013-08-30
5 pages
Article (Journal)
Electronic Resource
English
Optimization of Vehicle Routing Problem Based on Multi-Objective Genetic Algorithm
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