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Analysis and Computational Schemes for p-Median Heuristics

Bibliographic Data

ID4143165
AuthorsMark Horn (Commonwealth Scientific and Industrial Research Organisation, corresponding author)
Year1996
Volume28
Issue9
Pages1699-1708
Publication date1996-09-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a281699
OpenAlexW1981891001
LanguageEN
Citations received1
References cited9

This paper is concerned with solution procedures for the p-median problem: the well-established heuristic of Teitz and Bart, and the GRIA (Global/Regional Interchange Algorithm) technique developed more recently by Densham and Rushton. A computational scheme is presented which facilitates efficient implementations in both cases. The mathematical basis for the computational scheme is explained concisely by means of set-theory notation, and implementation of the Teitz-Bart heuristic is discussed with particular reference to search and storage considerations in large networks and in trees. In addition, it is shown that the two procedures in general do not terminate at solutions of equivalent local optimality

Algorithm · Arithmetic · Heuristic · Heuristics · Implementation · Mathematical optimization · Notation · Computer Science · Facility Location and Emergency Management · Mathematics · Transportation Planning and Optimization · Vehicle Routing Optimization Methods · Theoretical Computer Science

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    S L Hakimi•Operations Research•1964

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  • The p-Median Structure as a Unified Linear Model for Location-Allocation Analysis

    Open Access•E L Hillsman•Environment and Planning A…•1984

Citations per year0.03
Citation span1996 - 1996 (1)
Highly citedNo

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