Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/794
DC FieldValueLanguage
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_US
dc.language.isoenen_US
dc.publisherBeograd : Fakultet organizacionih nauka, Matematički institut SANU, Ekonomski fakultet et allen_US
dc.relation.ispartofYugoslav Journal of Operations Researchen_US
dc.subjectCombinatorial optimizationen_US
dc.subjectDynamic memory allocation problemen_US
dc.subjectMetaheuristicsen_US
dc.subjectVariable neighborhood searchen_US
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.issn0354-0243en_US
dc.description.rankM24+en_US
dc.relation.firstpage291en_US
dc.relation.lastpage314en_US
dc.relation.volume28en_US
dc.relation.issue3en_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
item.cerifentitytypePublications-
crisitem.author.deptNumerical Mathematics and Optimization-
crisitem.author.orcid0009-0003-8568-4260-
Appears in Collections:Research outputs
Show simple item record

Page view(s)

14
checked on Jan 19, 2025

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.