The use of parallel computers to solve nonlinear spatial optimisation problems: an application to network planning.
The writers describe how, through considering an automaker's U.K. dealer network, they have implemented and solved a complicated problem of real-world nonlinear spatial network optimization on a parallel computer. They discuss the methods by which nonlinear spatial optimization problems may be solv...
| Publicado en: | Environment & Planning A Vol. 27; pp. 1049 - 1069 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Pion Limited
July 1995
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=512641214&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 512641214 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0308518X EPL jtl: Environment & Planning A issn: 0308518X maglogo: N pubinfo: dt: July 1995 vid: 27 pid: 1065 pub: Pion Limited artinfo: ui: 512641214 10.1068/a271049 ppf: 1049 ppct: 20 formats: tig: atl: The use of parallel computers to solve nonlinear spatial optimisation problems: an application to network planning. aug: au: Birkin, Mark Clarke, M. George, F. su: Mathematical models Industrial location Economic geography Parallel processing United Kingdom sug: subj: United Kingdom Mathematical models Industrial location Economic geography Parallel processing keyword: Automobile dealers -- Location ab: The writers describe how, through considering an automaker's U.K. dealer network, they have implemented and solved a complicated problem of real-world nonlinear spatial network optimization on a parallel computer. They discuss the methods by which nonlinear spatial optimization problems may be solved and demonstrate how existing solution procedures are hindered by the computational complexity of the problem and how these obstacles can be overcome by the application of parallel computing technology. The writers conclude that they have demonstrated for the first time that parallel computers can offer real practical advances in geographical problem solving. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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