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Heuristics for a continuous multi-facility location problem with demand regions
Date
2015-10
Author
Dinler, Derya
Tural, Mustafa Kemal
İyigün, Cem
Metadata
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We propose mathematical programming formulations of the single and multiple facility versions of the problem considered. The single facility location problem is formulated as a second order cone programming (SOCP) problem, and hence is solvable in polynomial time. The multiple facility location problem is NP-hard in general and can be formulated as a mixed integer SOCP problem. This formulation is weak and does not even solve medium-size instances. To solve larger instances of the problem we propose three heuristics. When all the demand regions are rectangular regions with their sides parallel to the standard coordinate axes, a faster special heuristic is developed. We compare our heuristics in terms of both solution quality and computational time.
Subject Keywords
Facility location problems
,
Second order cone programming
,
Minimum sum of squares clustering
,
Hyperbolic smoothing
URI
https://hdl.handle.net/11511/28541
Journal
Computers & Operations Research
DOI
https://doi.org/10.1016/j.cor.2014.09.001
Collections
Department of Industrial Engineering, Article
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D. Dinler, M. K. Tural, and C. İyigün, “Heuristics for a continuous multi-facility location problem with demand regions,”
Computers & Operations Research
, pp. 237–256, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/28541.