Perturbation resilience for the facility location problem

Bodo Manthey; Matthijs B. Tijink

doi:10.1016/j.orl.2018.01.003

Perturbation resilience for the facility location problem

Bodo Manthey^* (Corresponding Author)
, Matthijs B. Tijink

^*Corresponding author for this work

Discrete Mathematics and Mathematical Programming

Research output: Contribution to journal › Article › Academic › peer-review

5 Citations (Scopus)

286 Downloads (Pure)

Abstract

We analyze a simple local search heuristic for the facility location problem using the notion of perturbation resilience: an instance is γ-perturbation resilient if all costs can be perturbed by a factor of γ without changing the optimal solution. We prove that local search for FLP succeeds in finding the optimal solution for γ-perturbation resilient instances for γ≥3, and we show that this is tight.

Original language	English
Pages (from-to)	215-218
Number of pages	4
Journal	Operations research letters
Volume	46
Issue number	2
Early online date	31 Jan 2018
DOIs	https://doi.org/10.1016/j.orl.2018.01.003
Publication status	Published - 1 Mar 2018

Keywords

Local search
Perturbation resilience
Facility location problem

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10.1016/j.orl.2018.01.003

Manthey2018perturbationAccepted author version, 269 KBLicence: CC BY-NC-ND

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title = "Perturbation resilience for the facility location problem",

abstract = "We analyze a simple local search heuristic for the facility location problem using the notion of perturbation resilience: an instance is γ-perturbation resilient if all costs can be perturbed by a factor of γ without changing the optimal solution. We prove that local search for FLP succeeds in finding the optimal solution for γ-perturbation resilient instances for γ≥3, and we show that this is tight.",

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AB - We analyze a simple local search heuristic for the facility location problem using the notion of perturbation resilience: an instance is γ-perturbation resilient if all costs can be perturbed by a factor of γ without changing the optimal solution. We prove that local search for FLP succeeds in finding the optimal solution for γ-perturbation resilient instances for γ≥3, and we show that this is tight.

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KW - Perturbation resilience

KW - Facility location problem

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DO - 10.1016/j.orl.2018.01.003

M3 - Article

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Perturbation resilience for the facility location problem

Abstract

Keywords

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