A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems

dc.contributor.authorPholdee, Nantiwat
dc.contributor.authorPanagant, Natee
dc.contributor.authorBureerat, Sujin
dc.contributor.authorSait, Sadiq M.
dc.contributor.buuauthorYıldız, Betül Sultan
dc.contributor.buuauthorYıldız, Ali Rıza
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Makina Mühendisliği.tr_TR
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Makina Mühendisliği.tr_TR
dc.contributor.orcid0000-0002-7493-2068
dc.contributor.orcid0000-0003-1790-6987
dc.contributor.researcheridAAL-9234-2020tr_TR
dc.contributor.researcheridF-7426-2011tr_TR
dc.contributor.scopusid57094682600tr_TR
dc.contributor.scopusid7102365439tr_TR
dc.date.accessioned2024-01-24T06:46:13Z
dc.date.available2024-01-24T06:46:13Z
dc.date.issued2022-06
dc.description.abstractThe paper proposes a novel metaheuristic based on integrating chaotic maps into a Henry gas solubility optimization algorithm (HGSO). The new algorithm is named chaotic Henry gas solubility optimization (CHGSO). The hybridization is aimed at enhancement of the convergence rate of the original Henry gas solubility optimizer for solving real-life engineering optimization problems. This hybridization provides a problem-independent optimization algorithm. The CHGSO performance is evaluated using various conventional constrained optimization problems, e.g., a welded beam problem and a cantilever beam problem. The performance of the CHGSO is investigated using both the manufacturing and diaphragm spring design problems taken from the automotive industry. The results obtained from using CHGSO for solving the various constrained test problems are compared with a number of established and newly invented metaheuristics, including an artificial bee colony algorithm, an ant colony algorithm, a cuckoo search algorithm, a salp swarm optimization algorithm, a grasshopper optimization algorithm, a mine blast algorithm, an ant lion optimizer, a gravitational search algorithm, a multi-verse optimizer, a Harris hawks optimization algorithm, and the original Henry gas solubility optimization algorithm. The results indicate that with selecting an appropriate chaotic map, the CHGSO is a robust optimization approach for obtaining the optimal variables in mechanical design and manufacturing optimization problems.en_US
dc.identifier.citationYıldız, B. S. vd. (2022). "A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems". Engineering with Computers, 38, 871-883.en_US
dc.identifier.doihttps://doi.org/10.1007/s00366-020-01268-5
dc.identifier.endpage883tr_TR
dc.identifier.issn0177-0667
dc.identifier.issn1435-5663
dc.identifier.scopus2-s2.0-85100727368tr_TR
dc.identifier.startpage871tr_TR
dc.identifier.urihttps://link.springer.com/article/10.1007/s00366-020-01268-5
dc.identifier.urihttps://hdl.handle.net/11452/39287
dc.identifier.volume38tr_TR
dc.identifier.wos000616738900001
dc.indexed.pubmed
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.collaborationYurt dışıtr_TR
dc.relation.journalEngineering with Computersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHybrid metaheuristicsen_US
dc.subjectHenry gas solubility optimizationen_US
dc.subjectChaotic mapsen_US
dc.subjectMechanical and manufacturing designen_US
dc.subjectDiaphragm springen_US
dc.subjectMultiobjective optimizationen_US
dc.subjectMachining conditionsen_US
dc.subjectParameter selectionen_US
dc.subjectGenetic algorithmen_US
dc.subjectDesignen_US
dc.subjectOperationsen_US
dc.subjectSearchen_US
dc.subjectAnt colony optimizationen_US
dc.subjectChaotic systemsen_US
dc.subjectGasesen_US
dc.subjectLearning algorithmsen_US
dc.subjectManufactureen_US
dc.subjectSolubilityen_US
dc.subjectAnt colony algorithmsen_US
dc.subjectArtificial bee colony algorithmsen_US
dc.subjectCantilever beam problemen_US
dc.subjectConstrained optimi-zation problemsen_US
dc.subjectCuckoo search algorithmsen_US
dc.subjectEngineering optimization problemsen_US
dc.subjectGravitational search algorithmsen_US
dc.subjectOptimization algorithmsen_US
dc.subjectConstrained optimizationen_US
dc.subject.scopusCutting Process; Chatter; Turningen_US
dc.subject.wosCategories Computer Science, Interdisciplinary Applicationsen_US
dc.subject.wosEngineering, Mechanicalen_US
dc.titleA novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problemsen_US
dc.typeArticleen_US
dc.wos.quartileQ1en_US

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