Fast local search for single row facility layout

Gintaras Palubeckis

European Journal of Operational Research, 2015, vol. 246, issue 3, 800-814

Abstract: Given n facilities of prescribed lengths and a flow matrix, the single row facility layout problem (SRFLP) is to arrange the facilities along a straight line so as to minimize the total arrangement cost, which is the sum of the products of the flows and center-to-center distances between facilities. We propose interchange and insertion neighborhood exploration (NE) procedures with time complexity O(n2), which is an improvement over O(n3)-time NE procedures from the literature. Numerical results show that, for large SRFLP instances, our insertion-based local search (LS) algorithm is two orders of magnitude faster than the best existing LS techniques. As a case study, we embed this LS algorithm into the variable neighborhood search (VNS) framework. We report computational results for SRFLP instances of size up to 300 facilities. They indicate that our VNS implementation offers markedly better performance than the variant of VNS that uses a recently proposed O(n3)-time insertion-based NE procedure.

Keywords: Combinatorial optimization; Single row facility layout; Local search; Variable neighborhood search (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:246:y:2015:i:3:p:800-814

DOI: 10.1016/j.ejor.2015.05.055

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