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Article: Modeling the optical constants of solids using acceptance-probability-controlled simulated annealing with an adaptive move generation procedure

TitleModeling the optical constants of solids using acceptance-probability-controlled simulated annealing with an adaptive move generation procedure
Authors
Issue Date1997
PublisherAmerican Physical Society. The Journal's web site is located at http://pre.aps.org
Citation
Physical Review E - Statistical Physics, Plasmas, Fluids, And Related Interdisciplinary Topics, 1997, v. 55 n. 4, p. 4797-4803 How to Cite?
AbstractThe acceptance-probability-controlled simulated annealing with an adaptive move generation procedure, an optimization technique derived from the simulated annealing algorithm, is presented. The adaptive move generation procedure was compared against the random move generation procedure on seven multiminima test functions, as well as on the synthetic data, resembling the optical constants of a metal. In all cases the algorithm proved to have faster convergence and superior escaping from local minima. This algorithm was then applied to fit the model dielectric function to data for platinum and aluminum.
Persistent Identifierhttp://hdl.handle.net/10722/174740
ISSN
2004 Impact Factor: 2.352
2003 SCImago Journal Rankings: 1.360
References

 

DC FieldValueLanguage
dc.contributor.authorDjurišić, ABen_US
dc.contributor.authorRakić, ADen_US
dc.contributor.authorElazar, JMen_US
dc.date.accessioned2012-11-26T08:47:10Z-
dc.date.available2012-11-26T08:47:10Z-
dc.date.issued1997en_US
dc.identifier.citationPhysical Review E - Statistical Physics, Plasmas, Fluids, And Related Interdisciplinary Topics, 1997, v. 55 n. 4, p. 4797-4803en_US
dc.identifier.issn1063-651Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/174740-
dc.description.abstractThe acceptance-probability-controlled simulated annealing with an adaptive move generation procedure, an optimization technique derived from the simulated annealing algorithm, is presented. The adaptive move generation procedure was compared against the random move generation procedure on seven multiminima test functions, as well as on the synthetic data, resembling the optical constants of a metal. In all cases the algorithm proved to have faster convergence and superior escaping from local minima. This algorithm was then applied to fit the model dielectric function to data for platinum and aluminum.en_US
dc.languageengen_US
dc.publisherAmerican Physical Society. The Journal's web site is located at http://pre.aps.orgen_US
dc.relation.ispartofPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topicsen_US
dc.titleModeling the optical constants of solids using acceptance-probability-controlled simulated annealing with an adaptive move generation procedureen_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-s2.0-0031125624en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0031125624&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume55en_US
dc.identifier.issue4en_US
dc.identifier.spage4797en_US
dc.identifier.epage4803en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridDjurišić, AB=7004904830en_US
dc.identifier.scopusauthoridRakić, AD=35618124100en_US
dc.identifier.scopusauthoridElazar, JM=6603681404en_US

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