Title :
Study of distribution center location based on improved particle swarm optimization
Author_Institution :
Sch. of Comput., Electron. & Inf., Guangxi Univ., Nanning, China
Abstract :
Aim at the location problem of distribution center an improved particle swarm optimization algorithm (IPSO) is proposed in this paper. This IPSO is presented to improve the performance of standard PSO with appropriate inertia weight and acceleration constants, which can well prevent premature and it has fast convergence. The experimental results show that the proposed algorithm can well solve the optimization for location problem of distribution center.
Keywords :
facility location; goods distribution; particle swarm optimisation; acceleration constants; distribution center location problem; improved particle swarm optimization; inertia weight; Acceleration; Computer science; Computer science education; Convergence; Costs; Distributed computing; Gravity; Linear programming; Particle swarm optimization; Transportation; Acceleration Constants; Distribution Center Location; Inertia Weight; Particle Swarm Optimization;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228508