A scenario decomposition‐genetic algorithm method for solving stochastic air cargo container loading problems

A scenario decomposition‐genetic algorithm method for solving stochastic air cargo container loading problems

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Article ID: iaor20112729
Volume: 47
Issue: 4
Start Page Number: 520
End Page Number: 531
Publication Date: Jul 2011
Journal: Transportation Research Part E
Authors:
Keywords: heuristics: genetic algorithms, programming: probabilistic
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.

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