Title :
Logistic Distribution Vehicle Scheduling Research in E-Commerce Environment
Author_Institution :
Sch. of Inf. Manage., Shandong Economic Univ., Jinan, China
Abstract :
In order to solve the logistic distribution vehicle scheduling problem in e-commerce environment, a method was proposed by modifying particle swarm optimization algorithm. In the method, a novel particle presentation for the vehicle scheduling problem was proposed. Simulation results have shown that the algorithm is effective and efficient for the vehicle scheduling problem.
Keywords :
electronic commerce; optimisation; scheduling; e-commerce; logistic distribution vehicle scheduling research; particle presentation; particle swarm optimization algorithm; Automotive engineering; Computer science; Costs; Heuristic algorithms; Logistics; Particle swarm optimization; Processor scheduling; Routing; Scheduling algorithm; Vehicles; logistic distribution; vehicle scheduling problem;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.630
