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Single Facility Location: Multi-objective Euclidean Distance Location

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Encyclopedia of Optimization

Article Outline

Keywords

Mathematical Model

Solution Approach

Duality

Discrete Location Problem

Objectives

See also

References

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References

  1. Bodily SE (1978) Police sector design incorporating preferences of interest groups for equality and efficiency. Managem Sci 24:1301–1313

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  2. Clark PA, Westerberg AW (1983) Optimization for design problems having more than one objective. Comput Chem Eng 7:259–278

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  3. Drezner Z (1995) Facility location: A survey of applications and methods. Springer, Berlin

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  4. Francis RL, White JA (1974) Facility layout and location. Prentice-Hall, Englewood Cliffs, NJ

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  5. Ierapetritou MG (2000) MINLP: Application in facility location-allocation. In: Encycl. Global Optim. Kluwer, Dordrecht

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  6. Ierapetritou MG (2000) Single facility location: Multiobjective Euclidean location. In: Encycl. Global Optim. Kluwer, Dordrecht

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  7. Kuhn HW (1973) A note on Fermat's problem. Math Program 4:98–107

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  8. Love RF, Morris JG, Wesolowsky GO (1988) Facilities location: Models & methods. North-Holland, Amsterdam

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  9. Marsh M, Schilling D (1994) Equity measurement in facility location analysis: A review and framework. Europ J Oper Res 74:1–17

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Author information

Authors and Affiliations

  1. Department Chemical and Biochemical Engineering, Rutgers University, Piscataway, USA

    Marianthi Ierapetritou

Authors
  1. Marianthi Ierapetritou
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Editor information

Editors and Affiliations

  1. Department of Chemical Engineering, Princeton University, Princeton, NJ, 08544-5263, USA

    Christodoulos A. Floudas

  2. Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, 32611-6595, USA

    Panos M. Pardalos

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© 2008 Springer-Verlag

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Ierapetritou, M. (2008). Single Facility Location: Multi-objective Euclidean Distance Location . In: Floudas, C., Pardalos, P. (eds) Encyclopedia of Optimization. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74759-0_621

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