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SIAM Review
Article . 1964 . Peer-reviewed
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https://dx.doi.org/10.1137/100...
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Heuristic Methods for Location-Allocation Problems

Heuristic methods for location-allocation problems
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1964 English Publisher:Society for Industrial & Applied Mathematics (SIAM)Journal:SIAM Review, volume 6, pages 37-53 (issn: 0036-1445, eissn: 1095-7200, Copyright policy )
Authors: Cooper, Leon;

doi: 10.1137/1006005

Heuristic Methods for Location-Allocation Problems

Abstract

Summary: A number of heuristic algorithms have been devised for solving large location-allocation problems. The algorithms have been extensively tested and several are in use in at least one industrial corporation. It has been found that one of the algorithms, the random destination algorithm, appears to provide satisfactorily close approximations to the optimal solution to location-allocation problems in reasonable amounts of computation time.

Keywords

Methods of reduced gradient type, Continuous location

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
406
Top 1%
Top 0.1%
Top 10%
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