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.
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Acknowledgments
This work has been funded by Grants from the Spanish Ministry (TIN2012-37483), Junta de Andalucía (P10-TIC-6002, P11-TIC-7176 and P12-TIC-301), in part financed by the European Regional Development Fund (ERDF) and Fundación Séneca 15254/PI/10, the Agency of Science and Technology of the Region of Murcia. Juana López Redondo is a fellow of the Spanish “Ramón y Cajal” contract program, co-financed by the European Social Fund.
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Ortigosa, P.M., Hendrix, E.M.T. & Redondo, J.L. On heuristic bi-criterion methods for semi-obnoxious facility location. Comput Optim Appl 61, 205–217 (2015). https://doi.org/10.1007/s10589-014-9709-1
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DOI: https://doi.org/10.1007/s10589-014-9709-1