Abstract
Initially, the distinction between exact and approximate algorithms is accounted for. We then consider a broad class of decision problems including the so-called account location ork-plant location problem (kPLP), and show that the choice of an appropriate reference value is critical; even an apparent plausible choice may lead to disputable conclusions.
A family of data instances forkPLP is presented for which the relative duality gap approaches one. Consequently, for this class of optimization problems, no error measure on the upper bound should permit a characterization of the strong linear programming relaxation as “good”.
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References
G. Cornuéjols, M. L. Fisher and G. L. Nemhauser,Location of bank accounts to optimize float, Management Science 23 (1977), 789–810.
M. L. Fisher,Worst-case analysis of approximate algorithms, Management Science 26 (1980), 1–17.
M. Guignard,Fractional vertices, cuts and facets of the simple plant location problem, Mathematical Programming Study 12 (1980), 150–162.
J. Krarup and P. M. Pruzan,The simple plant location problem: survey and synthesis, European Journal of Operational Research 12 (1983), 36–81.
J. G. Morris,On the extent to which certain fixed-charge depot location problems can be solved by LP, Journal of the Operational Research Society 29 (1978), 71–76.
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Krarup, J., Pruzan, P. Assessment of approximate algorithms: The error measure's crucial role. BIT 26, 284–294 (1986). https://doi.org/10.1007/BF01933708
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DOI: https://doi.org/10.1007/BF01933708