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Article: A parallelized genetic algorithm for the calibration of Lowry model

TitleA parallelized genetic algorithm for the calibration of Lowry model
Authors
KeywordsCalibration
Genetic algorithm
Land-use and transportation
Lowry model
Parallel computing
Issue Date2001
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/parco
Citation
Parallel Computing, 2001, v. 27 n. 12, p. 1523-1536 How to Cite?
AbstractThis paper presents a parallelized genetic algorithm for the calibration of Lowry model based on a maximum likelihood approach. A case study for the city of Hong Kong was employed for demonstrating the performance of the parallelized genetic algorithm, in terms of two commonly used performance measures: speedup and efficiency. The genetic algorithm is particularly suitable for implementation under a parallel computing environment. The parallelized version of the genetic algorithm is efficient and can be used to substantially reduce the computing time requirement for the calibration procedure. Therefore, it greatly enhances the potential applicability for large scale problems. An empirical study on the performance of the algorithm was conducted, from which an empirical formulae was developed to indicate the likely computing time in relation to the number of processors used for parallel computation. © 2001 Published by Elsevier Science B.V.
Persistent Identifierhttp://hdl.handle.net/10722/71502
ISSN
2015 Impact Factor: 1.0
2015 SCImago Journal Rankings: 0.726
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, SCen_HK
dc.contributor.authorWong, CKen_HK
dc.contributor.authorTong, COen_HK
dc.date.accessioned2010-09-06T06:32:34Z-
dc.date.available2010-09-06T06:32:34Z-
dc.date.issued2001en_HK
dc.identifier.citationParallel Computing, 2001, v. 27 n. 12, p. 1523-1536en_HK
dc.identifier.issn0167-8191en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71502-
dc.description.abstractThis paper presents a parallelized genetic algorithm for the calibration of Lowry model based on a maximum likelihood approach. A case study for the city of Hong Kong was employed for demonstrating the performance of the parallelized genetic algorithm, in terms of two commonly used performance measures: speedup and efficiency. The genetic algorithm is particularly suitable for implementation under a parallel computing environment. The parallelized version of the genetic algorithm is efficient and can be used to substantially reduce the computing time requirement for the calibration procedure. Therefore, it greatly enhances the potential applicability for large scale problems. An empirical study on the performance of the algorithm was conducted, from which an empirical formulae was developed to indicate the likely computing time in relation to the number of processors used for parallel computation. © 2001 Published by Elsevier Science B.V.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/parcoen_HK
dc.relation.ispartofParallel Computingen_HK
dc.rightsParallel Computing. Copyright © Elsevier BV.en_HK
dc.subjectCalibrationen_HK
dc.subjectGenetic algorithmen_HK
dc.subjectLand-use and transportationen_HK
dc.subjectLowry modelen_HK
dc.subjectParallel computingen_HK
dc.titleA parallelized genetic algorithm for the calibration of Lowry modelen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0167-8191&volume=27&spage=1523 &epage= 1536&date=2001&atitle=A+parallelized+genetic+algorithm+for+the+calibration+of+Lowry+modelen_HK
dc.identifier.emailWong, SC:hhecwsc@hku.hken_HK
dc.identifier.emailTong, CO:cotong@hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.identifier.authorityTong, CO=rp00178en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0167-8191(01)00104-1en_HK
dc.identifier.scopuseid_2-s2.0-0035502003en_HK
dc.identifier.hkuros65870en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035502003&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume27en_HK
dc.identifier.issue12en_HK
dc.identifier.spage1523en_HK
dc.identifier.epage1536en_HK
dc.identifier.isiWOS:000170764700002-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK
dc.identifier.scopusauthoridWong, CK=24475830600en_HK
dc.identifier.scopusauthoridTong, CO=7202715087en_HK
dc.identifier.citeulike8371365-

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