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Classical linear vector optimization duality revisited

机译:重新探讨经典线性向量优化对偶

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With this note we bring again into attention a vector dual problem neglected by the contributions who have recently announced the successful healing of the trouble encountered by the classical duals to the classical linear vector optimization problem. This vector dual problem has, different to the mentioned works which are of set-valued nature, a vector objective function. Weak, strong and converse duality for this “new-old” vector dual problem are proven and we also investigate its connections to other vector duals considered in the same framework in the literature. We also show that the efficient solutions of the classical linear vector optimization problem coincide with its properly efficient solutions (in any sense) when the image space is partially ordered by a nontrivial pointed closed convex cone, too.
机译:有了这个注释,我们再次引起了向量对偶问题的注意,该对偶问题被最近宣布成功解决经典对偶问题遇到的麻烦的经典线性向量优化问题所忽略。与提到的具有设定值性质的工作不同,该向量对偶问题具有向量目标函数。这个“新的”向量对偶问题具有弱,强和相反的对偶性,并且我们也研究了它与文献中同一框架中考虑的其他向量对偶的联系。我们还表明,当图像空间也由非平凡的尖头封闭凸锥部分排序时,经典线性矢量优化问题的有效解与它的适当有效解(在任何意义上)一致。

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