Title :
An improved ant colony optimization algorithm for the vehicle routing problems with time windows
Author :
Wang, Bi ; Yu, Hewei
Author_Institution :
Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
This paper presents an improved scheme for the vehicle routing problems with time windows based on ant colony optimization algorithm. The new scheme makes the change of heuristic message fast and speeds the convergence process by improving updating method of global pheromone and visibility strategy. Simulation results from eight groups of vehicle transportation case show that the new scheme performs better in vehicle routing problems. It can reduce the iteration times and make optimization solution in a short time.
Keywords :
optimisation; transportation; vehicles; ant colony optimization; convergence process; vehicle routing; vehicle transportation; Algorithm design and analysis; Ant colony optimization; Complexity theory; Computational modeling; Optimization; Routing; Vehicles; ant colony optimization; pheromone; time windows; vehicle routing problem;
Conference_Titel :
Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-962-367-696-0