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On heuristic bi-criterion methods for semi-obnoxious facility location

Author

Listed:
  • P. Ortigosa
  • E. Hendrix
  • J. Redondo

Abstract

Locating a semi-obnoxious facility, like an airport or correctional center is typically a bi-criterion problem combining a convex objective function representing minimum transportation cost with a multi-extremal objective function representing the non-desirable part of the facility. Generic one or bi-objective heuristic methods can be applied to generate efficient locations for the problem. We consider the location of one facility in the plane and show that a simple random or grid search with filtering already provides a very good picture of the trade-off between the two objectives. Moreover, we argue that instead of using bi-criterion meta-heuristics, one could better exploit the convex–nonconvex structure of the problem applying the constraint method. We show how to evaluate the methods systematically using several heuristics from literature. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • P. Ortigosa & E. Hendrix & J. Redondo, 2015. "On heuristic bi-criterion methods for semi-obnoxious facility location," Computational Optimization and Applications, Springer, vol. 61(1), pages 205-217, May.
  • Handle: RePEc:spr:coopap:v:61:y:2015:i:1:p:205-217
    DOI: 10.1007/s10589-014-9709-1
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    References listed on IDEAS

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    4. Romero-Morales, Dolores & Carrizosa, Emilio & Conde, Eduardo, 1997. "Semi-obnoxious location models: A global optimization approach," European Journal of Operational Research, Elsevier, vol. 102(2), pages 295-301, October.
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    6. Yapicioglu, Haluk & Smith, Alice E. & Dozier, Gerry, 2007. "Solving the semi-desirable facility location problem using bi-objective particle swarm," European Journal of Operational Research, Elsevier, vol. 177(2), pages 733-749, March.
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