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A Proximal Solution for a Class of Extended Minimax Location Problem

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3483))

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Abstract

We propose a proximal approach for solving a wide class of minimax location problems which in particular contains the round trip location problem. We show that a suitable reformulation of the problem allows to construct a Fenchel duality scheme the primal-dual optimality conditions of which can be solved by a proximal algorithm. This approach permits to solve problems for which distances are measured by mixed norms or gauges and to handle a large variety of convex constraints. Several numerical results are presented.

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References

  1. Chan, A.W., Hearn, D.W.: A rectilinear distance round-trip location problem. Transportation Science 11, 107–123 (1977)

    Article  Google Scholar 

  2. Drezner, Z.: The weighted minimax location problem with set-up costs and extensions. Recherche Opérationnelle/Operations Research 25, 55–64 (1991)

    MATH  MathSciNet  Google Scholar 

  3. Frenk, J.B.G., Gromicho, J., Zhang, S.: General models in min-max continuous location: theory and solution techniques. Journal of Optimization Theory and Applications 89, 39–63 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  4. Ichimori, T., Nishida, T.: Note on a rectilinear distance round-trip location problem. Transportation Science 19, 84–91 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  5. Idrissi, H., Lefebvre, O., Michelot, C.: A primal-dual algorithm for a constrained Fermat-Weber problem involving mixed gauges. RAIRO Operations Research 22, 313–330 (1988)

    MATH  MathSciNet  Google Scholar 

  6. Mifflin, R.: A stable method for solving certain constrained least squares problems. Mathematical Programming 16, 141–158 (1974)

    Article  MathSciNet  Google Scholar 

  7. Plastria, F.: Continuous location problems. In: Drezner, Z. (ed.) Facility Location: A Survey of Applications and Methods, pp. 225–262. Springer, New York (1995a)

    Google Scholar 

  8. Plastria, F.: Fully geometric solutions to some planar minimax location problems. Studies in Locational Analysis 7, 171–183 (1995b)

    Google Scholar 

  9. Rockafellar, R.T.: Convex Analysis. Princeton University Press, Princeton (1970)

    MATH  Google Scholar 

  10. Rockafellar, R.T.: Monotone operators and the proximal point algorithm. SIAM Journal on Control and Optimization 14, 877–898 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  11. Spingarn, J.E.: Partial inverse of a monotone operator. Applied Mathematics and Optimization 10, 247–265 (1983)

    Article  MATH  MathSciNet  Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Cornejo, O., Michelot, C. (2005). A Proximal Solution for a Class of Extended Minimax Location Problem. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_75

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  • DOI: https://doi.org/10.1007/11424925_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25863-6

  • Online ISBN: 978-3-540-32309-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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