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dc.contributor.authorKratica, Jozef-
dc.contributor.authorTošić, Dušan-
dc.contributor.authorFilipović, Vladimir-
dc.contributor.authorLjubić, Ivana-
dc.date.accessioned2020-07-03T09:58:06Z-
dc.date.available2020-07-03T09:58:06Z-
dc.date.issued2002-
dc.identifier.isbn978-1-4471-1101-6-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/3733-
dc.description.abstractIn this paper a genetic algorithm (GA) for solving the uncapacitated network design problem (UNDP) is presented. The problem with single source and destinations for each commodity is considered. UNDP is a base in class of the network design problems, but it is still NP-hard. The implementation of GA is additionally improved by caching technique of GA. The computational results on instances up to 50 commodities, 100 nodes and 700 edges are reported.-
dc.publisherSpringer Link-
dc.subjectGenetic Algorithm | Transportation Cost | Steiner Tree | Lagrangean Relaxation | Steiner Tree Problem-
dc.titleA genetic algorithm for the uncapacitated network design problem-
dc.typeBook Chapter-
dc.relation.publicationSoft Computing and Industry - Recent Applications-
dc.identifier.doi10.1007/978-1-4471-0123-9_28-
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage329-
dc.relation.lastpage338-
dc.description.rankM14-
item.cerifentitytypePublications-
item.openairetypeBook Chapter-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0002-9752-0971-
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