Title :
Research on Open Vehicle Routing Problem with Time Windows Based on Improved Genetic Algorithm
Author_Institution :
Coll. of Econ. & Trade, Hunan Univ., Changsha, China
Abstract :
According to the open vehicle routing problem (OVRP), a vehicle is not required to return to the distribution depot after servicing the last customer on its route. In this paper, the open vehicle routing problem with time windows (OVRPTW) is considered, and a mixed integer programming mathematic model of OVRPTW was proposed in detail. Meantime, an improved genetic algorithm (IGA) was proposed to overcome the shortcomings of premature convergence and slow convergence of conventional genetic algorithm (GA). The novel crossover-operator, swapping operator and inversion operator as the core of IGA were constructed to solve OVRPTW. The experiment results show that the IGA can solve OVRPTW effectively.
Keywords :
genetic algorithms; integer programming; transportation; vehicles; crossover-operator; distribution depot; improved genetic algorithm; inversion operator; mixed integer programming mathematic model; open vehicle routing problem; premature convergence; swapping operator; time windows; Algorithm design and analysis; Convergence; Cost function; Educational institutions; Genetic algorithms; Linear programming; Mathematical model; Mathematics; Routing; Vehicles;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5362726