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Methods for a network design problem in solar power systems

dc.contributor.authorBirge, John R.en_US
dc.contributor.authorMalyshko, V.en_US
dc.date.accessioned2006-04-07T19:13:02Z
dc.date.available2006-04-07T19:13:02Z
dc.date.issued1985en_US
dc.identifier.citationBirge, J. R., Malyshko, V. (1985)."Methods for a network design problem in solar power systems." Computers &amp; Operations Research 12(1): 125-138. <http://hdl.handle.net/2027.42/25844>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VC5-48M2Y82-1S/2/9ecd4316af1cae810997ac77f47c3dfcen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/25844
dc.description.abstractWe consider the problem of minimizing cable connections between a central computer and a field of heliostats in the design of solar power systems. This practical task can be modeled as a p-median problem with additional constraints in a weighted graph. We compare an exact branch-and-bound method with two approximate algorithms. For the latter two methods, estimations of time complexity and accuracy are presented. Computational results are shown which should be useful in the design of such large-scale power systems.en_US
dc.format.extent1076237 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleMethods for a network design problem in solar power systemsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumThe University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.contributor.affiliationotherByelorussian State University Minsk 22080, U.S.S.R.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/25844/1/0000407.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0305-0548(85)90014-0en_US
dc.identifier.sourceComputers &amp; Operations Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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