A parallel and non-parallel genetic algorithm for deconvolution of NMR spectra peaks

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dc.authoridAVCU, Fatih Mehmet/0000-0002-1973-7745
dc.authoridKarakaplan, Mustafa/0000-0002-9664-4112
dc.authorwosidAVCU, Fatih Mehmet/ABG-8390-2020
dc.authorwosidKarakaplan, Mustafa/H-3708-2018
dc.contributor.authorKarakaplan, Mustafa
dc.contributor.authorAvcu, Fatih Mehmet
dc.date.accessioned2024-08-04T20:37:35Z
dc.date.available2024-08-04T20:37:35Z
dc.date.issued2013
dc.departmentİnönü Üniversitesien_US
dc.description.abstractInterpreting high resolution nuclear magnetic resonance (NMR) spectra of complex samples is investigated by the use of real valued parallel and nonparallel genetic algorithm based on stochastic search procedure. The population-centric crossover operators were used in real coded genetic algorithm (RCGA) based on some probability distributions. This paper also presents parallel genetic algorithms computations with different genetic immigration operators. Different results were found with respect to the problems, even at the different stages of the genetic process in the same problem. It is observed that the grid and centralized type genetic immigration (island models) were effective on the global optimization. The parallel and non-parallel algorithms were also applied for solving some multi-modal test problems. It is found that the island models achieve superior performance on multi-modal test problems and on deconvolution of complex NMR spectra. (C) 2013 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipBAP (Scientific Research Projects Division) of Inonu Universityen_US
dc.description.sponsorshipThe authors would like to thank Bulent Alici, Department of Chemistry, Inonu University, for support and reading of the NMR spectrums. This research was supported by BAP (Scientific Research Projects Division) of Inonu University.en_US
dc.identifier.doi10.1016/j.chemolab.2013.04.007
dc.identifier.endpage152en_US
dc.identifier.issn0169-7439
dc.identifier.issn1873-3239
dc.identifier.scopus2-s2.0-84877338856en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage147en_US
dc.identifier.urihttps://doi.org/10.1016/j.chemolab.2013.04.007
dc.identifier.urihttps://hdl.handle.net/11616/96056
dc.identifier.volume125en_US
dc.identifier.wosWOS:000320217500016en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofChemometrics and Intelligent Laboratory Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectParallel genetic algorithmen_US
dc.subjectPeak deconvolutionen_US
dc.subjectNMRen_US
dc.subjectExperimental chemistry data processingen_US
dc.titleA parallel and non-parallel genetic algorithm for deconvolution of NMR spectra peaksen_US
dc.typeArticleen_US

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