Abstract
This paper reports an empirical discovery in integer programming. A version of the branch-and-bound approach is used as a control and tested against the same algorithm augmented by the use of Hillier's linear search performed at every node of the search tree. It is shown that the imbedded linear search locates solutions within 1%, and solutions within 5% of the theoretical optimum, which in fact can be seen to have this proximity to the theoretical optimum at the time of termination of computation, over ten times faster than the control.
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References
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R.G. Jeroslow and T.H.C. Smith, “Experimental results on Hillier's search imbedded in a branch-and-bound algorithm”, Management Sciences Research Rept. No. 326, GSIA, Carnegie-Mellon University, Pittsburgh, Pa. (November 1973).
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The results of this paper were first reported in a talk given by the first author at the Eighth International Symposium on Mathematical Programming, Stanford University, August 29, 1973.
Supported by NSF Grant GP-37510X.
Supported by a grant from the Council for Scientific and Industrial Research, Republic of South Africa, and by ONR Grant N00014-67-A-0314-007.
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Jeroslow, R.G., Smith, T.H.C. Experimental results on Hillier's linear search. Mathematical Programming 9, 371–376 (1975). https://doi.org/10.1007/BF01681357
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DOI: https://doi.org/10.1007/BF01681357