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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/794
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dc.contributor.authorIvanović, Marijaen_US
dc.contributor.authorSavić, Aleksandaren_US
dc.contributor.authorUrošsević, Draganen_US
dc.contributor.authorDugošija, Djordjeen_US
dc.date.accessioned2022-08-15T15:47:44Z-
dc.date.available2022-08-15T15:47:44Z-
dc.date.issued2018-09-13-
dc.identifier.issn03540243en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/794-
dc.description.abstractThis paper is devoted to the Dynamic Memory Allocation Problem (DMAP) in embedded systems. The existing Integer Linear Programing (ILP) formulation for DMAP is improved, and given that there are several metaheuristic approaches for solving the DMAP, a new metaheuristic approach is proposed and compared with the former ones. Computational results show that our new heuristic approach outperforms the best algorithm found in the literature regarding quality and running times.en
dc.relation.ispartofYugoslav Journal of Operations Researchen
dc.subjectCombinatorial optimizationen
dc.subjectDynamic memory allocation problemen
dc.subjectMetaheuristicsen
dc.subjectVariable neighborhood searchen
dc.titleA new variable neighborhood search approach for solving dynamic memory allocation problemen_US
dc.typeArticleen_US
dc.identifier.doi10.2298/YJOR161015018I-
dc.identifier.scopus2-s2.0-85053775337-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85053775337-
dc.contributor.affiliationNumerical Mathematics and Optimizationen_US
dc.relation.firstpage291en
dc.relation.lastpage314en
dc.relation.volume28en
dc.relation.issue3en
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptNumerical Mathematics and Optimization-
crisitem.author.orcid0009-0003-8568-4260-
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