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dc.contributor.authorCarrizosa, Emilioen
dc.contributor.authorDražić, Milanen
dc.contributor.authorDražić, Zoricaen
dc.contributor.authorMladenović, Nenaden
dc.date.accessioned2020-05-02T16:42:06Z-
dc.date.available2020-05-02T16:42:06Z-
dc.date.issued2012-09-01en
dc.identifier.issn0305-0548en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/2491-
dc.description.abstractVariable Neighborhood Search (VNS) has shown to be a powerful tool for solving both discrete and box-constrained continuous optimization problems. In this note we extend the methodology by allowing also to address unconstrained continuous optimization problems. Instead of perturbing the incumbent solution by randomly generating a trial point in a ball of a given metric, we propose to perturb the incumbent solution by adding some noise, following a Gaussian distribution. This way of generating new trial points allows one to give, in a simple and intuitive way, preference to some directions in the search space, or, contrarily, to treat uniformly all directions. Computational results show some advantages of this new approach.en
dc.publisherElsevier-
dc.relationMinisterio de Educación y Ciencia, Spain, Grant nos. MTM2009-14039 and SAB2009-0144-
dc.relationJunta de Andalucía, Spain, Grant no. FQM329-
dc.relationMathematical Modelas and Optimization Methods on Large-Scale Systems-
dc.relation.ispartofComputers and Operations Researchen
dc.subjectGaussian distribution | Global optimization | Metaheuristics | Nonlinear programming | Variable neighborhood searchen
dc.titleGaussian variable neighborhood search for continuous optimizationen
dc.typeArticleen
dc.identifier.doi10.1016/j.cor.2011.11.003en
dc.identifier.scopus2-s2.0-84855530343en
dc.relation.firstpage2206en
dc.relation.lastpage2213en
dc.relation.issue9en
dc.relation.volume39en
dc.description.rankM21-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
crisitem.author.orcid0000-0001-6655-0409-
crisitem.project.projectURLhttp://www.mi.sanu.ac.rs/novi_sajt/research/projects/174010e.php-
crisitem.project.fundingProgramDirectorate for Engineering-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NSF/Directorate for Engineering/1740103-
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