Title :
A Fuel Consumption Objective of VRP and the Genetic Algorithm
Author_Institution :
Sch. of Traffic & Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
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;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661086
