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dc.contributor.authorElleuch, Souhiren
dc.contributor.authorHansen, Pierreen
dc.contributor.authorJarboui, Bassemen
dc.contributor.authorMladenović, Nenaden
dc.date.accessioned2020-05-02T16:41:56Z-
dc.date.available2020-05-02T16:41:56Z-
dc.date.issued2017-04-01en
dc.identifier.issn1571-0653-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/2407-
dc.description.abstractIn this paper we propose a new local search method for solving automatic programming problem and we use it within recent Variable Neighborhood Programming (VNP) method. In automatic programming area the solution is a program and the most common way is to present it by a tree T with the specific structure (i.e., it has different types of nodes). New local search tries to adapt well known “elementary tree transformation” in generating neighboring trees (programs) N (T) to the incumbent tree T. Several other neighborhoods Nk (T) are used for the shaking step of the VNP. Method is implemented on some typical problems from the literature. Results are compared with the old VNP method.en
dc.publisherElsevier-
dc.relation.ispartofElectronic Notes in Discrete Mathematicsen
dc.subjectAutomatic programming | local search | variable neighborhood programmingen
dc.titleNew VNP for automatic programmingen
dc.typeArticleen
dc.identifier.doi10.1016/j.endm.2017.03.025en
dc.identifier.scopus2-s2.0-85017424225en
dc.relation.firstpage191en
dc.relation.lastpage198en
dc.relation.volume58en
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0001-6655-0409-
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