DocumentCode
3480856
Title
A Fuel Consumption Objective of VRP and the Genetic Algorithm
Author
Xiong Hao
Author_Institution
Sch. of Traffic & Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
Traditional algorithms of VRP often did not consider the loading rate of vehicle, which will partially effects the fuel consumption of the vehicle. So if considering the fuel consumption, there needs a new algorithm to find the optional route of VRP with lowest fuel consumption. Then the genetic algorithm of the model was designed and solved. The simulation result showed that the algorithm is a good way for fuel consumption objective optimization of VRP.
Keywords
fuel economy; genetic algorithms; transportation; fuel consumption objective; genetic algorithm; vehicle loading rate; vehicle routing problem; Fuels; Load modeling; Loading; Mathematical model; Routing; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5661086
Filename
5661086
Link To Document