Rights statement: This is the author’s version of a work that was accepted for publication in Operations Research Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Operations Research Letters, 49, 4, 2021 DOI: 10.1016/j.orl.2021.06.011
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - A separation algorithm for the simple plant location problem
AU - Galli, Laura
AU - Letchford, Adam
N1 - This is the author’s version of a work that was accepted for publication in Operations Research Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Operations Research Letters, vol. 49, issue 4, pp. 610-615, 2021. DOI: 10.1016/j.orl.2021.06.011
PY - 2021/7/31
Y1 - 2021/7/31
N2 - The Simple Plant Location Problem (SPLP) is a well-known NP-hard optimisation problem with applications in logistics. Although many families of facet-defining inequalities are known for the associated polyhedron, very little work has been done on separation algorithms. We present the first ever polynomial-time separation algorithm for the SPLP that separates exactly over an exponentially large family of facet-defining inequalities. We also present some promising computationalresults.
AB - The Simple Plant Location Problem (SPLP) is a well-known NP-hard optimisation problem with applications in logistics. Although many families of facet-defining inequalities are known for the associated polyhedron, very little work has been done on separation algorithms. We present the first ever polynomial-time separation algorithm for the SPLP that separates exactly over an exponentially large family of facet-defining inequalities. We also present some promising computationalresults.
KW - facility location
KW - combinatorial optimisation
U2 - 10.1016/j.orl.2021.06.011
DO - 10.1016/j.orl.2021.06.011
M3 - Journal article
VL - 49
SP - 610
EP - 615
JO - Operations Research Letters
JF - Operations Research Letters
SN - 0167-6377
IS - 4
ER -