A comparative study of recent non-traditional methods for mechanical design optimization
dc.contributor.author | Abderazek, H. | |
dc.contributor.buuauthor | Yıldız, Ali Rıza | |
dc.contributor.buuauthor | Mirjalili, S. | |
dc.contributor.department | Bursa Uludağ Üniversitesi/ Mühendislik Fakültesi/ Makine Mühendisliği Bölümü. | tr_TR |
dc.contributor.orcid | 0000-0003-1790-6987 | tr_TR |
dc.contributor.researcherid | F-7426-2011 | tr_TR |
dc.contributor.scopusid | 7102365439 | tr_TR |
dc.date.accessioned | 2022-11-21T10:42:13Z | |
dc.date.available | 2022-11-21T10:42:13Z | |
dc.date.issued | 2019-05-04 | |
dc.description.abstract | Solving practical mechanical problems is considered as a real challenge for evaluating the efficiency of newly developed algorithms. The present article introduces a comparative study on the application of ten recent meta-heuristic approaches to optimize the design of six mechanical engineering optimization problems. The algorithms are: the artificial bee colony (ABC), particle swarm optimization (PSO) algorithm, moth-flame optimization (MFO), ant lion optimizer (ALO), water cycle algorithm (WCA), evaporation rate WCA (ER-WCA), grey wolf optimizer (GWO), mine blast algorithm (MBA), whale optimization algorithm (WOA) and salp swarm algorithm (SSA). The performances of the algorithms are tested quantitatively and qualitatively using convergence speed, solution quality, and the robustness. The experimental results on the six mechanical problems demonstrate the efficiency and the ability of the algorithms used in this article. | en_US |
dc.description.sponsorship | British Association for Psychopharmacology | en_US |
dc.description.sponsorship | Benemérita Universidad Autónoma de Puebla | en_US |
dc.identifier.citation | Abderazek, H. vd. (2019). "A comparative study of recent non-traditional methods for mechanical design optimization". Archives of Computational Methods in Engineering, 27(4), 1031-1048. | en_US |
dc.identifier.endpage | 1048 | tr_TR |
dc.identifier.issn | 1134-3060 | |
dc.identifier.issue | 4 | tr_TR |
dc.identifier.scopus | 2-s2.0-85067677553 | tr_TR |
dc.identifier.startpage | 1031 | tr_TR |
dc.identifier.uri | https://doi.org/10.1007/s11831-019-09343-x | |
dc.identifier.uri | https://link.springer.com/article/10.1007/s11831-019-09343-x | |
dc.identifier.uri | http://hdl.handle.net/11452/29516 | |
dc.identifier.volume | 27 | tr_TR |
dc.identifier.wos | 000565732400003 | tr_TR |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | SCIE | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.bap | BAP | tr_TR |
dc.relation.collaboration | Yurt dışı | tr_TR |
dc.relation.journal | Archives of Computational Methods in Engineering | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Water cycle algorithm | en_US |
dc.subject | Mine blast algorithm | en_US |
dc.subject | Structural design | en_US |
dc.subject | Gravitational search | en_US |
dc.subject | Differential evolution | en_US |
dc.subject | Immune algorithm | en_US |
dc.subject | Grey wolf | en_US |
dc.subject | Ant lion | en_US |
dc.subject | Crashworthines | en_US |
dc.subject | Whale | en_US |
dc.subject | Efficiency | en_US |
dc.subject | Heuristic methods | en_US |
dc.subject | Artificial bee colonies (ABC) | en_US |
dc.subject | Engineering optimization problems | en_US |
dc.subject | Mechanical design optimization | en_US |
dc.subject | Mechanical problems | en_US |
dc.subject | Meta-heuristic approach | en_US |
dc.subject | Mine blast algorithms | en_US |
dc.subject | Optimization algorithms | en_US |
dc.subject | Particle swarm optimization algorithm | en_US |
dc.subject | Particle swarm optimization (PSO) | en_US |
dc.subject.scopus | Metaheuristics; Fireflies; Chiroptera | en_US |
dc.subject.wos | Computer science, interdisciplinary applications | en_US |
dc.subject.wos | Engineering, multidisciplinary | en_US |
dc.subject.wos | Mathematics, interdisciplinary applications | en_US |
dc.title | A comparative study of recent non-traditional methods for mechanical design optimization | en_US |
dc.type | Article | |
dc.type | Review | |
dc.wos.quartile | Q1 | en_US |
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