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Student-Project-Resource Allocation: Complexity of the Symmetric Case

机译:学生-项目-资源分配:对称案例的复杂性

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In this paper, we consider a student-project-resource allocation problem, in which students and indivisible resources are allocated to every project. The allocated resources determine endoge-nously the student capacity of a project. Traditionally, this problem is divided in two: (I) resources are allocated to projects based on expected demands (resource allocation problem), and (II) students are matched with projects based on the capacity determined in the previous problem (many-to-one matching problem). Although both problems are well-understood, unless the expectations used in the first problem are correct, we obtain a suboptimal outcome. Thus, it is desirable to solve this problem as a whole, without dividing it. We start by introducing a compact representation that takes advantage of the symmetry of preferences. Then, we show that computing a nonwasteful matching is FP~(NP)-complete. Besides, a fair matching can be found in polynomial-time. Finally, deciding whether a stable (i.e. nonwasteful and fair) matching exists is NP~(NP)-complete.
机译:在本文中,我们考虑了一个学生项目资源分配问题,其中学生和不可分割的资源分配给每个项目。分配的资源确定了项目的学生能力。传统上,这个问题分为两个:(i)基于预期要求(资源分配问题)分配给项目的资源,(ii)学生与基于前一个问题中确定的容量(多对 - )的能力相匹配一个匹配问题)。虽然这两个问题都很好地理解,除非第一个问题中使用的期望是正确的,否则我们获得了次优的结果。因此,希望整个问题解决这个问题,而不划分它。我们首先介绍一个紧凑的表示,利用偏好的对称性。然后,我们表明计算非快速匹配是FP〜(NP) - 可顺序。此外,可以在多项式时间内找到公平的匹配。最后,决定是否存在稳定(即非浪费和公平)匹配是NP〜(NP) - 符合条件。

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