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dc.contributor.authorWang, Chen
dc.contributor.authorWang, Yi
dc.contributor.authorWang, Kesheng
dc.contributor.authorDong, Yao
dc.contributor.authorYang, Yang
dc.date.accessioned2018-06-26T05:49:35Z
dc.date.available2018-06-26T05:49:35Z
dc.date.created2017-10-12T14:08:09Z
dc.date.issued2017
dc.identifier.citationMathematical problems in engineering. 2017.nb_NO
dc.identifier.issn1024-123X
dc.identifier.urihttp://hdl.handle.net/11250/2502908
dc.description.abstractIt is extremely important to maintain balance between convergence and diversity for many-objective evolutionary algorithms. Usually, original BBO algorithm can guarantee convergence to the optimal solution given enough generations, and the Biogeography/Complex (BBO/Complex) algorithm uses within-subsystem migration and cross-subsystem migration to preserve the convergence and diversity of the population. However, as the number of objectives increases, the performance of the algorithm decreases significantly. In this paper, a novel method to solve the many-objective optimization is called Hmp/BBO (Hybrid Metropolis Biogeography/Complex Based Optimization). The new decomposition method is adopted and the PBI function is put in place to improve the performance of the solution. On the within-subsystem migration the inferior migrated islands will not be chosen unless they pass the Metropolis criterion. With this restriction, a uniform distribution Pareto set can be obtained. In addition, through the above-mentioned method, algorithm running time is kept effectively. Experimental results on benchmark functions demonstrate the superiority of the proposed algorithm in comparison with five state-of-the-art designs in terms of both solutions to convergence and diversity.nb_NO
dc.language.isoengnb_NO
dc.publisherHindawi Publishing Corporationnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAn Improved Hybrid Algorithm Based on Biogeography/Complex and Metropolis for Many-Objective Optimizationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume2017nb_NO
dc.source.journalMathematical problems in engineeringnb_NO
dc.identifier.doi10.1155/2017/2462891
dc.identifier.cristin1504197
dc.description.localcode© 2017 Chen Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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