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Nonmonotone hybrid tabu search for inequalities and equalities: an experimental study

dc.contributor.authorRamadas, Gisela C. V.
dc.contributor.authorFernandes, Edite M. G. P.
dc.date.accessioned2014-01-24T15:28:48Z
dc.date.available2014-01-24T15:28:48Z
dc.date.issued2013
dc.description.abstractThe main goal of this paper is to analyze the behavior of nonmono- tone hybrid tabu search approaches when solving systems of nonlinear inequalities and equalities through the global optimization of an appro- priate merit function. The algorithm combines global and local searches and uses a nonmonotone reduction of the merit function to choose the local search. Relaxing the condition aims to call the local search more often and reduces the overall computational e ort. Two variants of a perturbed pattern search method are implemented as local search. An experimental study involving a variety of problems available in the lit- erature is presented.por
dc.identifier.doi10.12988/ams.2013.13043pt_PT
dc.identifier.issn1312-885X
dc.identifier.issn1314-7552
dc.identifier.urihttp://hdl.handle.net/10400.22/3461
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherHikari Ltdpor
dc.relation.ispartofseriesApplied Mathematical Sciences; Vol. 7, Issues 9-12
dc.relation.publisherversionhttp://www.m-hikari.com/ams/ams-2013/ams-9-12-2013/ramadasAMS9-12-2013.pdfpor
dc.subjectInequalities and equalitiespor
dc.subjectTabu searchpor
dc.subjectPattern searchpor
dc.subjectMerit functionpor
dc.subjectNonmonotone conditionpor
dc.titleNonmonotone hybrid tabu search for inequalities and equalities: an experimental studypor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage525por
oaire.citation.startPage503por
oaire.citation.titleApplied Mathematical Sciences
oaire.citation.volumeVol. 7
person.familyNameGonçalves Vieira Ramadas
person.givenNameGisela Cristina
person.identifier.ciencia-id1718-5E35-4A69
person.identifier.orcid0000-0003-3883-2964
person.identifier.scopus-author-id54403520900
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication5b7d05da-a26f-4253-b821-a051a98d6aa8
relation.isAuthorOfPublication.latestForDiscovery5b7d05da-a26f-4253-b821-a051a98d6aa8

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