Yayın: 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 | Mühendislik Fakültesi | |
| dc.contributor.department | Makine Mühendisliği | |
| dc.contributor.researcherid | F-7426-2011 | |
| dc.contributor.scopusid | 7102365439 | |
| 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. | |
| dc.description.sponsorship | King Fahd University of Petroleum and Minerals | |
| dc.identifier.citation | Panagant, N. vd. (2020). "Seagull optimization algorithm for solving real-world design optimization problems", Materials Testing, 62(6), 640-644. | |
| dc.identifier.doi | 10.3139/120.111529 | |
| dc.identifier.endpage | 644 | |
| dc.identifier.issn | 0025-5300 | |
| dc.identifier.issue | 6 | |
| dc.identifier.scopus | 2-s2.0-85090589936 | |
| dc.identifier.startpage | 640 | |
| 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 | |
| dc.identifier.wos | 000538962400012 | |
| dc.indexed.wos | SCIE | |
| dc.language.iso | en | |
| dc.publisher | Walter de Gruyter | |
| dc.relation.bap | BAP | |
| dc.relation.collaboration | Yurt dışı | |
| dc.relation.journal | Materials Testing | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Seagull optimization algorithm | |
| dc.subject | Control arm | |
| dc.subject | Shape optimization | |
| dc.subject | Structural design | |
| dc.subject | Differential evolution | |
| dc.subject | Gravitational search | |
| dc.subject | Hybrid approach | |
| dc.subject | Ant lion | |
| dc.subject | Crashworthiness | |
| dc.subject | Parameters | |
| dc.subject | Materials science | |
| dc.subject | Mechanical engineering | |
| dc.subject | Mechanical properties | |
| dc.subject | Design problems | |
| dc.subject | Kriging model | |
| dc.subject | Optimization algorithms | |
| dc.subject | Real-world designs | |
| dc.subject | Research papers | |
| dc.subject | Stress constraints | |
| dc.subject | Structural mass | |
| dc.subject | Structural shape | |
| dc.subject.scopus | Cutting Process; Chatter; Turning | |
| dc.subject.wos | Materials science, characterization & testing | |
| dc.title | Seagull optimization algorithm for solving real-world design optimization problems | |
| dc.type | Article | |
| dc.wos.quartile | Q3 | |
| dspace.entity.type | Publication | |
| local.contributor.department | Mühendislik Fakültesi/Makine Mühendisliği | |
| local.indexed.at | Scopus | |
| local.indexed.at | WOS |
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