An optimization-based heuristic for the machine reassignment problem

Mehdi Mrad, Anis Gharbi (), Mohamed Haouari and Mohamed Kharbeche
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Mehdi Mrad: King Saud University
Anis Gharbi: King Saud University
Mohamed Haouari: Qatar University
Mohamed Kharbeche: Qatar Road Safety Studies Center, Qatar University

Annals of Operations Research, 2016, vol. 242, issue 1, No 6, 115-132

Abstract: Abstract We address the machine reassignment problem proposed in the context of the ROADEF/EURO challenge 2012 in partnership with Google. The problem consists in reassigning a set of processes to a set of multiple-resource machines so as to minimize a weighted function of the machines load, the resources balance, and the costs of moving processes while satisfying numerous constraints. We propose an optimization-based heuristic that requires decomposing the problem into a sequence of small-sized instances that are iteratively solved using a general MIP solver. To speed-up the solution process several algorithmic expedients are embedded. Extensive computational experiments provide evidence that the proposed approach exhibits a very good performance.

Keywords: Machine reassignment; Optimization-based heuristic; Mixed integer programming (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s10479-015-2002-6

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