Chaotic Aquila Optimization Algorithm for Solving Phase Equilibrium Problems and Parameter Estimation of Semi-empirical Models

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dc.authoridTurgut, Oguz Emrah/0000-0003-3556-8889
dc.contributor.authorTurgut, Oguz Emrah
dc.contributor.authorTurgut, Mert Sinan
dc.contributor.authorKirtepe, Erhan
dc.date.accessioned2024-03-09T18:48:17Z
dc.date.available2024-03-09T18:48:17Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesien_US
dc.description.abstractThis research study aims to enhance the optimization performance of a newly emerged Aquila Optimization algorithm by incorporating chaotic sequences rather than using uniformly generated Gaussian random numbers. This work employs 25 different chaotic maps under the framework of Aquila Optimizer. It considers the ten best chaotic variants for performance evaluation on multidimensional test functions composed of unimodal and multimodal problems, which have yet to be studied in past literature works. It was found that Ikeda chaotic map enhanced Aquila Optimization algorithm yields the best predictions and becomes the leading method in most of the cases. To test the effectivity of this chaotic variant on real-world optimization problems, it is employed on two constrained engineering design problems, and its effectiveness has been verified. Finally, phase equilibrium and semi-empirical parameter estimation problems have been solved by the proposed method, and respective solutions have been compared with those obtained from state-of-art optimizers. It is observed that CH01 can successfully cope with the restrictive nonlinearities and nonconvexities of parameter estimation and phase equilibrium problems, showing the capabilities of yielding minimum prediction error values of no more than 0.05 compared to the remaining algorithms utilized in the performance benchmarking process.en_US
dc.identifier.doi10.1007/s42235-023-00438-7
dc.identifier.endpage526en_US
dc.identifier.issn1672-6529
dc.identifier.issn2543-2141
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85175043796en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage486en_US
dc.identifier.urihttps://doi.org/10.1007/s42235-023-00438-7
dc.identifier.urihttps://hdl.handle.net/20.500.14034/1279
dc.identifier.volume21en_US
dc.identifier.wosWOS:001089134500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Singapore Pte Ltden_US
dc.relation.ispartofJournal of Bionic Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAquila Optimization Algorithm; Chaotic Maps; Parameter Estimation; Phase Equilibrium; Unconstrained Optimizationen_US
dc.titleChaotic Aquila Optimization Algorithm for Solving Phase Equilibrium Problems and Parameter Estimation of Semi-empirical Modelsen_US
dc.typeArticleen_US

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