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Cutting plane method for multiple objective stochastic integer linear programming

机译:多目标随机整数线性规划的割平面方法

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摘要

This paper grapples with the problem of incorporating integer variables in the constraints of a multiple objective stochastic linear program (MOSLP). After representing uncertain aspirations of the decision maker by converting the original problem into a deterministic multiple objective integer linear program (MOILP), a cutting plane technique may be used to compute all the efficient solutions of the last model leaving the decision maker to choose a solution according to his preferences. A numerical example is also included for illustration. (c) 2004 Elsevier B.V. All rights reserved.
机译:本文解决了在多目标随机线性程序(MOSLP)的约束条件中合并整数变量的问题。在通过将原始问题转换为确定性多目标整数线性程序(MOILP)来表示决策者的不确定愿望之后,可以使用切割平面技术来计算最后一个模型的所有有效解,从而让决策者选择一个解决方案根据他的喜好。还包括一个数字示例以进行说明。 (c)2004 Elsevier B.V.保留所有权利。

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