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Article: Minimax location with farthest Euclidean distances

TitleMinimax location with farthest Euclidean distances
Authors
KeywordsRegional demand
Farthest Euclidean distance
Facility location
Location-allocation heuristic
Minimax objective
Issue Date2012
Citation
Pacific Journal of Optimization, 2012, v. 8, n. 3, p. 407-428 How to Cite?
AbstractThis paper considers the locations of facilities in the plane, with the aim of minimizing the maximal weighted distance between facilities and regional customers where the distances between facilities and regional customers are evaluated by the farthest Euclidean distances. We consider both the single-facility case and the multiple-facilities case, and we propose some efficient algorithms. We report some numerical results to verify the efficiency of these algorithms. © 2012 Yokohama Publishers.
Persistent Identifierhttp://hdl.handle.net/10722/251027
ISSN
2021 Impact Factor: 0.579

 

DC FieldValueLanguage
dc.contributor.authorJiang, Jianlin-
dc.contributor.authorYuan, Xiaoming-
dc.date.accessioned2018-02-01T01:54:22Z-
dc.date.available2018-02-01T01:54:22Z-
dc.date.issued2012-
dc.identifier.citationPacific Journal of Optimization, 2012, v. 8, n. 3, p. 407-428-
dc.identifier.issn1348-9151-
dc.identifier.urihttp://hdl.handle.net/10722/251027-
dc.description.abstractThis paper considers the locations of facilities in the plane, with the aim of minimizing the maximal weighted distance between facilities and regional customers where the distances between facilities and regional customers are evaluated by the farthest Euclidean distances. We consider both the single-facility case and the multiple-facilities case, and we propose some efficient algorithms. We report some numerical results to verify the efficiency of these algorithms. © 2012 Yokohama Publishers.-
dc.languageeng-
dc.relation.ispartofPacific Journal of Optimization-
dc.subjectRegional demand-
dc.subjectFarthest Euclidean distance-
dc.subjectFacility location-
dc.subjectLocation-allocation heuristic-
dc.subjectMinimax objective-
dc.titleMinimax location with farthest Euclidean distances-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-84874957017-
dc.identifier.volume8-
dc.identifier.issue3-
dc.identifier.spage407-
dc.identifier.epage428-
dc.identifier.eissn1349-8169-
dc.identifier.issnl1348-9151-

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