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On bottleneck assignment problems under categorization

机译:分类下的瓶颈分配问题

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摘要

In this note we consider two types of bottleneck assignment problems under categorization and show that the problems are strongly NP-hard. Further, it is observed that the algorithms developed in Agarwal and Tikekar (Comput. Oper. Res. 13 (1986) 11) for these problems are of pseudo-polynomial complexity. Thus contrary to what is reported in Agarwal and Tikekar (1986), these algorithms do not guarantee exact optimality of the solutions produced, unless P = NP. Scope and purpose: In this note we point out that the algorithms suggested in Agarwal and Tikekar (1986) to solve the bottleneck assignment problem under categorization (two variations) do not guarantee the optimality of the solution produced, contrary to what is claimed in the paper. However, for applications where a guaranteed optimal solution is not required, the algorithm of Agarwal and Tikekar (1986) may be used as a good heuristic.
机译:在此注释中,我们考虑了归类下的两种类型的瓶颈分配问题,并说明了这些问题对NP来说很困难。此外,可以观察到在Agarwal和Tikekar中开发的算法(Comput。Oper。Res。13(1986)11)具有伪多项式复杂性。因此,与Agarwal和Tikekar(1986)报道的相反,除非P = NP,否则这些算法不能保证所生成解的精确最优。范围和目的:在本说明中,我们指出Agarwal和Tikekar(1986)提出的用于解决分类(两个变体)下的瓶颈分配问题的算法不能保证所产生的解的最优性,这与本文中所主张的相反。纸。但是,对于不需要保证最优解的应用,可以将Agarwal和Tikekar(1986)的算法用作一种很好的启发式算法。

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