期刊
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
卷 47, 期 4, 页码 520-531出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2010.11.013
关键词
Scenario decomposition; Genetic algorithm; Air express cargo loading; Stochastic demands
类别
资金
- National Science Council of Taiwan [NSC 99-2410-H-424-013]
In this study, we develop a solution method for solving air express cargo loading problems under stochastic demands. The method is designed by combining the scenario decomposition and genetic algorithm (GA) techniques. Numerical tests are performed to evaluate the performance of the solution method using data for the Asian operations of an international express carrier. The results show that the solutions obtained from our method are very close to the optimal solutions. Furthermore, our method has an advantage in terms of computation time over the CPLEX optimization algorithm. (C) 2010 Elsevier Ltd. All rights reserved.
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