DC FieldValueLanguage
dc.contributor.authorDražić, Milanen
dc.contributor.authorDražić, Zoricaen
dc.contributor.authorMladenović, Nenaden
dc.contributor.authorUrošević, Draganen
dc.contributor.authorZhao, Qiu Hongen
dc.date.accessioned2020-05-01T20:13:54Z-
dc.date.available2020-05-01T20:13:54Z-
dc.date.issued2016-01-01en
dc.identifier.issn1471-678Xen
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/1780-
dc.description.abstractSeveral variants of variable neighbourhood search (VNS) for solving unconstrained and constrained continuous optimization problems have been proposed in the literature. In this paper, we suggest two new variants, one of which uses the recent modified Nelder-Mead (MNM) direct search method as a local search and the other an extension of the MNM method obtained by increasing the size of the simplex each time the search cannot be continued. For these new and some previous VNS variants, extensive computational experiments are performed on standard and large non-differentiable test instances. Some interesting observations regarding comparison of some VNS variants with NM based local search are made.en
dc.publisherOxford University Press-
dc.relation.ispartofIMA Journal of Management Mathematicsen
dc.subjectglobal optimization | heuristics | non-differentiable optimization | simplex method | variable neighbourhood search.en
dc.titleContinuous variable neighbourhood search with modified Nelder-Mead for non-differentiable optimizationen
dc.typeArticleen
dc.identifier.doi10.1093/imaman/dpu012en
dc.identifier.scopus2-s2.0-84959909017en
dc.relation.firstpage75en
dc.relation.lastpage88en
dc.relation.issue1en
dc.relation.volume27en
dc.description.rankM23-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0001-6655-0409-
crisitem.author.orcid0000-0003-3607-6704-
Show simple item record

SCOPUSTM   
Citations

8
checked on Jun 15, 2024

Page view(s)

72
checked on May 9, 2024

Google ScholarTM

Check

Altmetric

Altmetric


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