Hybrid real-code population-based incremental learning and differential evolution for many-objective optimisation of an automotive floor-frame

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dc.authorid0000-0003-1790-6987en_US
dc.contributor.authorPholdee, Nantiwat
dc.contributor.authorBureerat, Sujin
dc.contributor.authorYıldız, Ali Rıza
dc.date.accessioned2021-03-20T20:14:14Z
dc.date.available2021-03-20T20:14:14Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractIn this paper, a many-objective hybrid real-code population-based incremental learning and differential evolution algorithm (MnRPBILDE) is proposed based on the concept of objective function space reduction. The method is then implemented on real engineering design problems. The topology, shape and sizing design of a simplified automotive floor-frame structure are formulated and used as test problems. A variety of well-established multi-objective evolutionary algorithms (MOEAs) including the original version of MnRPBILDE are employed to solve the test problems while the results are compared based on hypervolume and C indicators. The results indicate that our proposed algorithm outperforms the other MOEAs. The proposed algorithm is effective and efficient for many-objective optimisations of a car floor-frame structure.en_US
dc.description.sponsorshipThailand Research FundThailand Research Fund (TRF) [BRG5880014]en_US
dc.description.sponsorshipThe authors are grateful for the financial support by the Thailand Research Fund (BRG5880014).en_US
dc.identifier.endpage53en_US
dc.identifier.issn0143-3369
dc.identifier.issn1741-5314
dc.identifier.issue1-3en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage20en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1020
dc.identifier.volume73en_US
dc.identifier.wosWOS:000397192300003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorYıldız, Ali Rıza
dc.language.isoenen_US
dc.publisherInderscience Enterprises Ltden_US
dc.relation.ispartofInternational Journal Of Vehicle Designen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcar floor-frame designen_US
dc.subjectmany-objective optimisationen_US
dc.subjectpopulation-based incremental learningen_US
dc.subjectdifferential evolutionen_US
dc.subjecttopology optimisationen_US
dc.titleHybrid real-code population-based incremental learning and differential evolution for many-objective optimisation of an automotive floor-frameen_US
dc.typeArticleen_US

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Makine Mühendisliği Bölümü Yayın Koleksiyonu
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