Hybrid approach for genetic algorithm and Taguchi's method based design optimization in the automotive industry
dc.contributor.buuauthor | Karen, İdris | |
dc.contributor.buuauthor | Yıldız, Ali Rıza | |
dc.contributor.buuauthor | Kaya, Necmettin | |
dc.contributor.buuauthor | Öztürk, Nursel | |
dc.contributor.buuauthor | Öztürk, Ferruh | |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü. | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü. | tr_TR |
dc.contributor.orcid | 0000-0002-8297-0777 | tr_TR |
dc.contributor.orcid | 0000-0003-1790-6987 | tr_TR |
dc.contributor.researcherid | AAG-9923-2021 | tr_TR |
dc.contributor.researcherid | R-4929-2018 | tr_TR |
dc.contributor.researcherid | F-7426-2011 | tr_TR |
dc.contributor.researcherid | AAG-9336-2021 | tr_TR |
dc.contributor.scopusid | 14831337300 | tr_TR |
dc.contributor.scopusid | 7102365439 | tr_TR |
dc.contributor.scopusid | 7005013334 | tr_TR |
dc.contributor.scopusid | 7005688805 | tr_TR |
dc.contributor.scopusid | 56271685800 | tr_TR |
dc.date.accessioned | 2021-09-07T05:49:02Z | |
dc.date.available | 2021-09-07T05:49:02Z | |
dc.date.issued | 2006-11-15 | |
dc.description.abstract | Although genetic algorithm and multi-objective optimization techniques are widely used to solve problems in the design and manufacturing area, further improvements are required to develop more efficient techniques regarding multi-objective optimization problems. The main goal of the present research is to further develop and strengthen the genetic algorithm based multi-objective optimization approach to generate real-world design solutions in the automotive industry. In this research, a new hybrid approach based on Taguchi's method and a genetic algorithm is presented to achieve better Pareto-optimal set solutions for multi-objective design optimization problems. In addition, fatigue damage and life are also considered to evaluate the results of the design optimization process. The validity and efficiency of the proposed approach are evaluated and illustrated with test problems taken from the literature. It is then applied to a vehicle component taken from the automotive industry. | en_US |
dc.identifier.citation | Karen, İ. vd. (2006). ''Hybrid approach for genetic algorithm and Taguchi's method based design optimization in the automotive industry''. International Journal of Production Research, 44(22), 4897-4914. | en_US |
dc.identifier.endpage | 4914 | tr_TR |
dc.identifier.issn | 0020-7543 | |
dc.identifier.issn | 1366-588X | |
dc.identifier.issue | 22 | tr_TR |
dc.identifier.scopus | 2-s2.0-33749576595 | tr_TR |
dc.identifier.startpage | 4897 | tr_TR |
dc.identifier.uri | https://doi.org/10.1080/00207540600619932 | |
dc.identifier.uri | https://www.tandfonline.com/doi/full/10.1080/00207540600619932 | |
dc.identifier.uri | http://hdl.handle.net/11452/21716 | |
dc.identifier.volume | 44 | tr_TR |
dc.identifier.wos | 000241266000012 | tr_TR |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | SCIE | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.relation.journal | International Journal of Production Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Operations research & management science | en_US |
dc.subject | Engineering | en_US |
dc.subject | Taguchi's method | en_US |
dc.subject | Multi-objective optimization | en_US |
dc.subject | Genetic algorithm | en_US |
dc.subject | Performance | en_US |
dc.subject | Neural-network | en_US |
dc.subject | Topology design | en_US |
dc.subject | Parameter design | en_US |
dc.subject | Robust design | en_US |
dc.subject | Shape optimization | en_US |
dc.subject | Industrial research | en_US |
dc.subject | Optimal systems | en_US |
dc.subject | Optimization | en_US |
dc.subject | Pareto principle | en_US |
dc.subject | Problem solving | en_US |
dc.subject | Multi objective optimization | en_US |
dc.subject | Pareto optimal set solutions | en_US |
dc.subject | Automotive industry | en_US |
dc.subject.scopus | Robust Parameter Design; Multiple Responses; Desirability Function | en_US |
dc.subject.wos | Engineering, industrial | en_US |
dc.subject.wos | Engineering, manufacturing | en_US |
dc.subject.wos | Operations research & management science | en_US |
dc.title | Hybrid approach for genetic algorithm and Taguchi's method based design optimization in the automotive industry | en_US |
dc.type | Article | |
dc.wos.quartile | Q2 | en_US |
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