Heuristics for a continuous multi-facility location problem with demand regions

Date

2015-10

Author

Dinler, Derya
Tural, Mustafa Kemal
İyigün, Cem

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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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Citation Formats

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.