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A dual variant of Benson's 'outer approximation algorithm' for multiple objective linear programming

机译:Benson“外部逼近算法”的双重变体,用于多目标线性规划

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摘要

Outcome space methods construct the set of nondominated points in the objective (outcome) space of a multiple objective linear programme. In this paper, we employ results from geometric duality theory for multiple objective linear programmes to derive a dual variant of Benson's "outer approximation algorithm" to solve multiobjective linear programmes in objective space. We also suggest some improvements of the original version of the algorithm and prove that solving the dual provides a weight set decomposition. We compare both algorithms on small illustrative and on practically relevant examples.
机译:结果空间方法在多目标线性程序的目标(结果)空间中构造一组非支配点。在本文中,我们将几何对偶理论的结果用于多个目标线性程序,以得出Benson的“外部近似算法”的对偶变体,以解决目标空间中的多目标线性程序。我们还建议对算法的原始版本进行一些改进,并证明解决对偶可提供权重集合分解。我们在较小的说明性示例和实际相关示例中比较了这两种算法。

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