Seagull optimization algorithm for solving real-world design optimization problems
dc.contributor.author | Panagant, N. | |
dc.contributor.author | Pholdee, N. | |
dc.contributor.author | Bureerat, S. | |
dc.contributor.author | Sait, SM. | |
dc.contributor.buuauthor | Yıldız, Ali Rıza | |
dc.contributor.department | Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği. | tr_TR |
dc.contributor.researcherid | F-7426-2011 | tr_TR |
dc.contributor.scopusid | 7102365439 | tr_TR |
dc.date.accessioned | 2022-11-24T08:27:08Z | |
dc.date.available | 2022-11-24T08:27:08Z | |
dc.date.issued | 2020-06-01 | |
dc.description.abstract | In this research paper, a new surrogate-assisted metaheuristic for shape optimization is proposed. A seagull optimization algorithm (SOA) is used to solve the shape optimization of a vehicle bracket. The design problem is to find structural shape while minimizing structural mass and meeting a stress constraint. Function evaluations are carried out using finite element analysis and estimated by using a Kriging model. The results show that SOA has outstanding features just as the whale optimization algorithm and salp swarm optimization algorithm for designing optimal components in the industry. | en_US |
dc.description.sponsorship | King Fahd University of Petroleum and Minerals | en_US |
dc.identifier.citation | Panagant, N. vd. (2020). "Seagull optimization algorithm for solving real-world design optimization problems", Materials Testing, 62(6), 640-644. | en_US |
dc.identifier.endpage | 644 | tr_TR |
dc.identifier.issn | 0025-5300 | |
dc.identifier.issue | 6 | tr_TR |
dc.identifier.scopus | 2-s2.0-85090589936 | tr_TR |
dc.identifier.startpage | 640 | tr_TR |
dc.identifier.uri | https://doi.org/10.3139/120.111529 | |
dc.identifier.uri | https://www.degruyter.com/document/doi/10.3139/120.111529/html | |
dc.identifier.uri | http://hdl.handle.net/11452/29552 | |
dc.identifier.volume | 62 | tr_TR |
dc.identifier.wos | 000538962400012 | |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | SCIE | en_US |
dc.language.iso | en | en_US |
dc.publisher | Walter de Gruyter | en_US |
dc.relation.bap | BAP | tr_TR |
dc.relation.collaboration | Yurt dışı | tr_TR |
dc.relation.journal | Materials Testing | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Seagull optimization algorithm | en_US |
dc.subject | Control arm | en_US |
dc.subject | Shape optimization | en_US |
dc.subject | Structural design | en_US |
dc.subject | Differential evolution | en_US |
dc.subject | Gravitational search | en_US |
dc.subject | Hybrid approach | en_US |
dc.subject | Ant lion | en_US |
dc.subject | Crashworthiness | en_US |
dc.subject | Parameters | en_US |
dc.subject | Materials science | en_US |
dc.subject | Mechanical engineering | en_US |
dc.subject | Mechanical properties | en_US |
dc.subject | Design problems | en_US |
dc.subject | Kriging model | en_US |
dc.subject | Optimization algorithms | en_US |
dc.subject | Real-world designs | en_US |
dc.subject | Research papers | en_US |
dc.subject | Stress constraints | en_US |
dc.subject | Structural mass | en_US |
dc.subject | Structural shape | en_US |
dc.subject.scopus | Cutting Process; Chatter; Turning | en_US |
dc.subject.wos | Materials science, characterization & testing | en_US |
dc.title | Seagull optimization algorithm for solving real-world design optimization problems | en_US |
dc.type | Article | |
dc.wos.quartile | Q3 | en_US |
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