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In this study, we develop a solution method for solving air express cargo loading problems under stochastic demands. The method is designed by combining a scenario decomposition technique and genetic algorithm. This increases the solution accuracy, thus helping carriers obtain a better container loading plan, which will improve their profitability. Numerical tests are performed to evaluate the performance...
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