A hybrid Approach for Logistics Center Location Using Discrete Particle Swarm Optimization

摘要：

The location selection of logistics center (LC) described as the Mixed-Integer Linear Model is one of difficult combinational optimization problems. In this paper, we propose a hybrid particle swarm optimization (PSO) algorithm, extended from discrete PSO, for solving the mixed-integer nonlinear optimization problem. In the proposed algorithm, the particle and the velocity are redefined and the sequential quadratic programming (SQP) is also applied to cope with nonlinear inequality constraint in model. Furthermore, we incorporate the Tabu search method which can enhance the seek ability in exploration into proposed algorithm, called PSO-Tabu9. Experimental results reveal that the proposed approach is a practicable technique for solving the logistics center location problem.

关键词： Logistics Center Hybrid PSO Tabu SQP

作者: Wei Guo Kai-Sheng-Huang Guan-Yi-Chen

作者单位: Faculty of Automation Guangdong University of Technology Canton, Guangdong Province, China Department of Automation University of Foshan Foshan, Guangdong Province, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）