期刊
COMPUTERS & MATHEMATICS WITH APPLICATIONS
卷 58, 期 4, 页码 678-685出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2009.02.028
关键词
Bi-level linear programming; Particle swarm optimization algorithm; Genetic algorithm
资金
- National Science Council of Taiwan Government [962221-E-011-178-MY3]
Bi-level linear programming is a technique for modeling decentralized decision. It consists of the upper-level and lower-level objectives. This paper attempts to develop an efficient method based on particle swarm optimization (PSO) algorithm with swarm intelligence. The performance of the proposed method is ascertained by comparing the results with genetic algorithm (GA) using four problems in the literature and an example of supply chain model. The results illustrate that the PSO algorithm outperforms GA in accuracy. (C) 2009 Elsevier Ltd. All rights reserved.
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