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Content Provider | IEEE Xplore Digital Library |
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Author | Wei Guo Kai-Sheng-Huang Guan-Yi-Chen |
Copyright Year | 2007 |
Description | Author affiliation: Guangdong Univ. of Technol., Guangzhou (Wei Guo; Kai-Sheng-Huang) |
Abstract | 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-Tabu. Experimental results reveal that the proposed approach is a practicable technique for solving the logistics center location problem. |
Starting Page | 2830 |
Ending Page | 2835 |
File Size | 228471 |
Page Count | 6 |
File Format | |
ISBN | 9781424415311 |
DOI | 10.1109/ICAL.2007.4339063 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-08-18 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Productivity Automation Transportation Materials handling Tabu Linear programming Quadratic programming Particle swarm optimization SQP Search methods Logistics Center Cost function Logistics Hybrid PSO |
Content Type | Text |
Resource Type | Article |
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