Department of Economics and Business Economics

A bi-objective approach to discrete cost-bottleneck location problems

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This paper considers a family of bi-objective discrete facility location problems with a cost objective and a bottleneck objective. A special case is, for instance, a bi-objective version of the (vertex) p-centdian problem. We show that bi-objective facility location problems of this type can be solved efficiently by means of an ε-constraint method that solves at most (n- 1) · m minisum problems, where n is the number of customer points and m the number of potential facility sites. Additionally, we compare the approach to a lexicographic ε-constrained method that only returns efficient solutions and to a two-phase method relying on the perpendicular search method. We report extensive computational results obtained from several classes of facility location problems. The proposed algorithm compares very favorably to both the lexicographic ε-constrained method and to the two phase method.

Original languageEnglish
JournalAnnals of Operations Research
Pages (from-to)179-201
Number of pages23
Publication statusPublished - 2018

    Research areas

  • Bi-objective optimization, Discrete facility location, EPSILON-CONSTRAINT METHOD, FACILITY, GRAPH, Lexicographic optimization, MEDIAN CONVEX COMBINATION, NETWORK, OPTIMIZATION PROBLEMS, PRICE ALGORITHM, PROFITS, SWITCHING CENTERS, epsilon-Constrained method

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