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Article: Elite genetic algorithms with adaptive mutations for solving continuous optimization problems - Application to modeling of the optical constants of solids

TitleElite genetic algorithms with adaptive mutations for solving continuous optimization problems - Application to modeling of the optical constants of solids
Authors
KeywordsGenetic Algorithms
Model Parameter Estimation
Optical Constants
Issue Date1998
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/optcom
Citation
Optics Communications, 1998, v. 151 n. 1-3, p. 147-159 How to Cite?
AbstractThe elite genetic algorithm with adaptive mutations is proposed as a tool for solving continuous optimization problems. The new algorithm and the corresponding classical genetic algorithm were severely tested on three families of multiminima test functions for 20, 50 and 100 variables. All performed tests proved that the introduced adaptive mutations significantly improve the ability of the algorithm to find a global minimum. After verifying the superiority of the proposed algorithm over the classical one on the test functions, an elite genetic algorithm with adaptive mutations was applied for solving the model parameter determination problem for modeling optical constants of the following metals: beryllium, chromium, nickel and palladium. Good agreement between calculated and experimental data was obtained for all four metals. © 1998 Elsevier Science B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/174759
ISSN
2015 Impact Factor: 1.48
2015 SCImago Journal Rankings: 0.778
References

 

DC FieldValueLanguage
dc.contributor.authorDjurišić, ABen_US
dc.date.accessioned2012-11-26T08:47:17Z-
dc.date.available2012-11-26T08:47:17Z-
dc.date.issued1998en_US
dc.identifier.citationOptics Communications, 1998, v. 151 n. 1-3, p. 147-159en_US
dc.identifier.issn0030-4018en_US
dc.identifier.urihttp://hdl.handle.net/10722/174759-
dc.description.abstractThe elite genetic algorithm with adaptive mutations is proposed as a tool for solving continuous optimization problems. The new algorithm and the corresponding classical genetic algorithm were severely tested on three families of multiminima test functions for 20, 50 and 100 variables. All performed tests proved that the introduced adaptive mutations significantly improve the ability of the algorithm to find a global minimum. After verifying the superiority of the proposed algorithm over the classical one on the test functions, an elite genetic algorithm with adaptive mutations was applied for solving the model parameter determination problem for modeling optical constants of the following metals: beryllium, chromium, nickel and palladium. Good agreement between calculated and experimental data was obtained for all four metals. © 1998 Elsevier Science B.V. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/optcomen_US
dc.relation.ispartofOptics Communicationsen_US
dc.subjectGenetic Algorithmsen_US
dc.subjectModel Parameter Estimationen_US
dc.subjectOptical Constantsen_US
dc.titleElite genetic algorithms with adaptive mutations for solving continuous optimization problems - Application to modeling of the optical constants of solidsen_US
dc.typeArticleen_US
dc.identifier.emailDjurišić, AB: dalek@hku.hken_US
dc.identifier.authorityDjurišić, AB=rp00690en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0032064935en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032064935&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume151en_US
dc.identifier.issue1-3en_US
dc.identifier.spage147en_US
dc.identifier.epage159en_US
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridDjurišić, AB=7004904830en_US

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