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Heuristics for Location Models

In: Foundations of Location Analysis

Author

Listed:
  • Jack Brimberg

    (Royal Military College of Canada)

  • John M. Hodgson

    (The University of Alberta)

Abstract

Location-allocation problems, due to their mathematical complexity, resist exact solutions for problems of more than moderate size. For this and other reasons, heuristic (approximative) approaches are widely used in solving them. This chapter considers the two seminal streams of heuristic solution procedures, both of which remain in use today often in a somewhat altered form. We begin by outlining the location-allocation problem that originally attracted the development of these approaches.

Suggested Citation

  • Jack Brimberg & John M. Hodgson, 2011. "Heuristics for Location Models," International Series in Operations Research & Management Science, in: H. A. Eiselt & Vladimir Marianov (ed.), Foundations of Location Analysis, chapter 0, pages 335-355, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-7572-0_15
    DOI: 10.1007/978-1-4419-7572-0_15
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    Citations

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    Cited by:

    1. Pawel Kalczynski & Jack Brimberg & Zvi Drezner, 2022. "Less is more: discrete starting solutions in the planar p-median problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 34-59, April.
    2. Faustino, Fausta J. & Lopes, José Calixto & Melo, Joel D. & Sousa, Thales & Padilha-Feltrin, Antonio & Brito, José A.S. & Garcia, Claudio O., 2023. "Identifying charging zones to allocate public charging stations for electric vehicles," Energy, Elsevier, vol. 283(C).

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