Planar 3-dimensional assignment problems with Monge-like cost arrays

preprint2014arXivOpen access

Abstract

Given an n×n×pn\times n\times p cost array CC we consider the problem pp-P3AP which consists in finding pp pairwise disjoint permutations φ1,φ2,…,φpφ_1,φ_2,\ldots,φ_p of {1,…,n}\{1,\ldots,n\} such that ∑k=1p∑i=1nciφk(i)k\sum_{k=1}^{p}\sum_{i=1}^nc_{iφ_k(i)k} is minimized. For the case p=np=n the planar 3-dimensional assignment problem P3AP results. Our main result concerns the pp-P3AP on cost arrays CC that are layered Monge arrays. In a layered Monge array all n×nn\times n matrices that result from fixing the third index kk are Monge matrices. We prove that the pp-P3AP and the P3AP remain NP-hard for layered Monge arrays. Furthermore, we show that in the layered Monge case there always exists an optimal solution of the pp-3PAP which can be represented as matrix with bandwidth ≤4p−3\le 4p-3. This structural result allows us to provide a dynamic programming algorithm that solves the pp-P3AP in polynomial time on layered Monge arrays when pp is fixed.

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