A differential evolutionary chromosomal gene expression programming technique for electronic nose applications

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dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.contributor.authorAri, Davut
dc.contributor.authorAlagoz, Baris Baykant
dc.date.accessioned2024-08-04T20:53:25Z
dc.date.available2024-08-04T20:53:25Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe intelligent system applications require automated data-driven modeling tools. The performance consistency of modeling tools is very essential to reduce the need for human intervention. Classical Gene Expression Programmings (GEPs) employ predefined genetic rules for the node-based evolution of expression trees in the absence of optimal numerical values of constant terminals, and these shortcomings can limit the search efficiency of expression trees. To alleviate negative impacts of these limitations on the data-driven GEP modeling performance, a Differential Evolutionary Chromosomal GEP (DEC-GEP) algorithm is suggested. The DEC-GEP utilizes the Differential Evolution (DE) algorithm for the optimization of a complete genotype of expression trees. For this purpose, a modifier gene container, which stores numerical values of constant terminals, is appended to the frame of GEP chromosome, and this modified chromosome structure enables simultaneous optimization of expression tree genotypes together with numerical values of constant terminals. Besides, the DEC-GEP algorithm can benefit from exploration and exploitation capabilities of the DE algorithm for more efficient evolution of GEP expression trees. To investigate consistency of the DEC-GEP algorithm in a data-driven modeling application, an experimental study was conducted for soft calibration of the low-cost, solid-state sensor array measurements, and results indicated that the DEC-GEP could yield dependable CO concentration estimation models for electronic nose applications.(c) 2023 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.asoc.2023.110093
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85147845705en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2023.110093
dc.identifier.urihttps://hdl.handle.net/11616/101169
dc.identifier.volume136en_US
dc.identifier.wosWOS:000967879900001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAir quality electronic noseen_US
dc.subjectGene expression programmingen_US
dc.subjectDifferential evolutionen_US
dc.subjectSensor calibrationen_US
dc.titleA differential evolutionary chromosomal gene expression programming technique for electronic nose applicationsen_US
dc.typeArticleen_US

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