Skip to main content
Log in

Properties of Three-Dimensional Median Line Location Models

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

We consider the problem of locating a line with respect to some existing facilities in 3-dimensional space, such that the sum of weighted distances between the line and the facilities is minimized. Measuring distance using the l p norm is discussed, along with the special cases of Euclidean and rectangular norms. Heuristic solution procedures for finding a local minimum are outlined.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Brazil, M., tD.H. Lee, J.H. Rubinstein, D.A. Thomas, J.F. Weng, and N.C. Wormald. (2001). “Network Optimisation of Underground Mine Designs.” Submitted to AusIMM Proceedings.

  • Brimberg, J., tH. Juel, and A. Schöbel. (2002). “Linear Facility Location in Three Dimensions – Models and Solution Methods.” Operations Research 50(6), 1050–1057.

    Google Scholar 

  • Brimberg, J. and tR.F. Love. (1993). “Global Convergence of a Generalized Iterative Procedure for the Minisum Location Problem with _p Distances.” Operations Research 41, 1153–1163.

    Google Scholar 

  • Brimberg, J., tR. Chen, and D. Chen. (1998). “Accelerating Convergence in the Fermat–Weber Location Problem.” Operations Research Letters 22, 151–157.

    Google Scholar 

  • Díaz-Báñez, J.M., tJ.A. Mesa, and A. Schöbel. (2002). “Continuous Location of Dimensional Structures.” Report in Wirtschaftsmathematik 79/2002, University of Kaiserslautern.

  • Follert, F. (1995). “Maxmin Location of an Anchored Ray in 3-Space and Related Problems.” In 7th Canadian Conference on Computational Geometry, Quebec.

  • Follert, F., tE. Schömer, J. Sellen, M. Smid, and C. Thiel. (1995). “Computing a Largest Empty Anchored Cylinder and Related Problems.” Technical Report MPI–91–1–001, Max-Planck-Institut für Informatik, Saarbrücken.

    Google Scholar 

  • Houle, M.E. and tG.T. Toussaint. (1988). “Computing the Width of a Set.” IEEE Transactions on Pattern Analysis and Machine Intelligence 10, 760–765.

    Google Scholar 

  • Korneenko, N.M. and tH. Martini. (1993). “Hyperplane Approximation and Related Topics.” In J. Pach (ed.), New Trends in Discrete and Computational Geometry. New York: Springer.

    Google Scholar 

  • Martini, H. and tA. Schöbel. (1998). “Median Hyperplanes in Normed Spaces – A Survey.” Discrete Applied Mathematics 89, 181–195.

    Google Scholar 

  • Martini, H. and tA. Schöbel. (1999). “A Characterization of Smooth Norms.” Geometriae Dedicata, 77 173–183.

    Google Scholar 

  • Minkowski, H. (1967). Gesammelte Abhandlungen. New York: Chelsea.

    Google Scholar 

  • Morris, J.G. and tJ.P. Norback. (1980). “A Simple Approach to Linear Facility Location.” Transportation Science 14, 1–8.

    Google Scholar 

  • Morris, J.G. and tJ.P. Norback. (1983). “Linear Facility Location – Solving Extensions of the Basic Problem.” European Journal of Operational Research 12, 90–94.

    Google Scholar 

  • Norback, J.P. and tJ.G. Morris. (1980). “Fitting Hyperplanes by Minimizing Orthogonal Deviations.” Mathematical Programming 19, 102–105.

    Google Scholar 

  • Schöbel, A. (1998). “Locating Least Distant Lines in the Plane.” European Journal of Operational Research 106(1), 152–159.

    Google Scholar 

  • Schöbel, A. (1999). Locating Lines and Hyperplanes: Theory and Algorithms. Dordrecht: Kluwer.

    Google Scholar 

  • Schömer, E., tJ. Sellen, M. Teichmann, and C. Yap. (1996). “Efficient Algorithms for the Smallest Enclosing Cylinders Problem.” In Proceedings of the 8th Canadian Conference on Computational Geometry.

  • Wesolowsky, G.O. (1975). “Location of the Median Line for Weighted Points.” Environment and Planning A 7, 163–170.

    Google Scholar 

  • Zemel, E. (1984). “An O(n) Algorithm for the Linear Multiple Choice Knapsack Problem and Related Problems.” Information Processing Letters 18, 123–128.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Brimberg, J., Juel, H. & Schöbel, A. Properties of Three-Dimensional Median Line Location Models. Annals of Operations Research 122, 71–85 (2003). https://doi.org/10.1023/A:1026138205325

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1026138205325

Navigation