A multi-objective approach for the segmentation issue

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dc.contributor.author Guerrero Madrid, José Luis
dc.contributor.author Berlanga de Jesús, Antonio
dc.contributor.author Molina López, José Manuel
dc.date.accessioned 2014-10-07T08:27:23Z
dc.date.available 2014-10-07T08:27:23Z
dc.date.issued 2012-03
dc.identifier.bibliographicCitation Engineering Optimization (2012), 44 (3), 262-287.
dc.identifier.issn 1029-0273 (Online)
dc.identifier.issn 0305-215X (Print)
dc.identifier.uri http://hdl.handle.net/10016/19449
dc.description Special Issue: Multi-objective metaheuristics for multi-disciplinary engineering applications
dc.description.abstract This work presents and formalizes an explicit multi-objective evolutionary approach for the segmentation issue according to Piecewise Linear Representation, which consists in the approximation of a given digital curve by a set of linear models minimizing the representation error and the number of such models required. Available techniques are focused on the minimization of the quality of the obtained approximation, being the cost of that approximation considered, in general, only for certain comparison purposes. The multi-objective nature of the problem is analysed and its treatment in available works reviewed, presenting an a posteriori approach based on an evolutionary algorithm. Three representative curves are included in the data set, comparing the proposed technique to nine different techniques. The performance of the presented approach is tested according to single and multiobjective perspectives. The statistical tests carried out show that the experimental results are, in general, significantly better than available approaches from both perspectives.
dc.description.sponsorship This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/TIC-1485) and DPS2008-07029-C02-02.
dc.format.extent 21
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Taylor & Francis
dc.rights © 2012 Taylor & Francis
dc.subject.other Polygonal approximation
dc.subject.other Time series
dc.subject.other Piecewise linear representation
dc.subject.other Multi-objective optimization
dc.subject.other Evolutionary algorithms
dc.title A multi-objective approach for the segmentation issue
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1080/0305215X.2011.641718
dc.subject.eciencia Informática
dc.identifier.doi 10.1080/0305215X.2011.641718
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 267
dc.identifier.publicationissue 3
dc.identifier.publicationlastpage 287
dc.identifier.publicationtitle Engineering optimization
dc.identifier.publicationvolume 44
dc.identifier.uxxi AR/0000009866
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