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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/36577

Title: A scenario decomposition-genetic algorithm method for solving stochastic air cargo container loading problems
Authors: Tang;Ching-Hui
Contributors: NTOU:Department of Transportation Science
Keywords: Scenario decomposition;Genetic algorithm;Air express cargo loading;Stochastic demands
Date: 2011
Issue Date: 2015-05-19T06:31:57Z
Publisher: Transportation Research Part E
Abstract: Abstract: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.
Relation: 47(4), pp.520-531
URI: http://ntour.ntou.edu.tw/handle/987654321/36577
Appears in Collections:[運輸科學系] 期刊論文

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