Feasibility recovery for the Unit-capacity Constrained Permutation Problem

Pascale Bendotti 1 Pierre Fouilhoux 2
2 RO - Recherche Opérationnelle
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : The Unit-capacity Constrained Permutation Problem with Feasibility Recovery (UCPPFR) is to find a sequence of moves for pieces over a set of locations. From a given location, a piece can be moved to a unit capacity location, i.e. the latter location must be free of its original piece. Each piece has a specific type, and in the end every location must contain a piece of a required type. A piece must be handled using a specific tool, thus incurring a setup cost whenever a tool changeover is required. It could be necessary to use some Steiner locations to find a solution, thus incurring a Steiner cost. The aim of the UCPPFR is to find a sequence of moves with a minimum total setup and Steiner cost. We give a necessary and sufficient condition to check whether an instance admits a solution with no Steiner location. We show that the UCPPFR reduces to finding simultaneously a vertex-disjoint path cover and a shortest common supersequence. Finally, using a compact encoding for solutions and integer linear programming tools, we solve real instances coming from the nuclear power plant fuel renewal problem.
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Contributeur : Pierre Fouilhoux <>
Soumis le : jeudi 22 juin 2017 - 17:27:58
Dernière modification le : mercredi 21 mars 2018 - 18:58:11

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Pascale Bendotti, Pierre Fouilhoux. Feasibility recovery for the Unit-capacity Constrained Permutation Problem. Discrete Optimization, Elsevier, 2016, Volume 22, Part A, pp.66-86. 〈http://www.sciencedirect.com/science/article/pii/S157252861500050X?via%3Dihub〉. 〈10.1016/j.disopt.2015.09.004〉. 〈hal-01545594〉

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