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A METHOD FOR OPTIMIZING OVER THE INTEGER EFFICIENT SET

机译:整数有效集的优化方法

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摘要

In this paper, we are interested in optimizing a linear function on the set of efficient solutions of a Multiple Objective Integer Linear Programming problem (MOILP). We propose an exact algorithm for maximizing a linear function denoted ? on the set of efficient solutions of a MOILP problem without having to enumerate explicitly all the elements of this set. Two techniques are used: the first is to reduce progressively the admissible domain by adding more constraints eliminating all the dominated points by the current solution; the second, when the new solution obtained by maximizing the function ?in the reduced area is not efficient, an exploration procedure is applied over the edges incident to this solution in order to find new alternative efficient solutions if they exist. The algorithm produces not only an optimal value of the linear function but also a subset of non-dominated solutions in the direction of ? that can be helpful in the practice.
机译:在本文中,我们对优化多目标整数线性规划问题(MOILP)的有效解集上的线性函数感兴趣。我们提出了一种精确算法,用于最大化表示为的线性函数。基于MOILP问题的有效解集,而不必明确枚举该集合的所有元素。使用了两种技术:第一种是通过添加更多约束来消除当前解决方案中的所有优势点,从而逐步减少可允许域。第二,当通过在减小的面积上最大化函数φ获得的新解决方案效率不高时,对入射到该解决方案的边缘应用探索过程,以便找到新的替代有效解决方案(如果存在)。该算法不仅产生线性函数的最优值,而且产生沿方向的非支配解子集。在实践中可能会有所帮助。

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