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- Publisher Website: 10.1023/B:JOGO.0000015313.93974.b0
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Article: A hybrid descent method for global optimization
Title | A hybrid descent method for global optimization |
---|---|
Authors | |
Keywords | Descent method Global minimum Simulating annealing |
Issue Date | 2004 |
Publisher | Springer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0925-5001 |
Citation | Journal Of Global Optimization, 2004, v. 28 n. 2, p. 229-238 How to Cite? |
Abstract | In this paper, a hybrid descent method, consisting of a simulated annealing algorithm and a gradient-based method, is proposed. The simulated annealing algorithm is used to locate descent points for previously converged local minima. The combined method has the descent property and the convergence is monotonic. To demonstrate the effectiveness of the proposed hybrid descent method, several multi-dimensional non-convex optimization problems are solved. Numerical examples show that global minimum can be sought via this hybrid descent method. |
Persistent Identifier | http://hdl.handle.net/10722/74234 |
ISSN | 2023 Impact Factor: 1.3 2023 SCImago Journal Rankings: 0.743 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Yiu, KFC | en_HK |
dc.contributor.author | Liu, Y | en_HK |
dc.contributor.author | Teo, KL | en_HK |
dc.date.accessioned | 2010-09-06T06:59:17Z | - |
dc.date.available | 2010-09-06T06:59:17Z | - |
dc.date.issued | 2004 | en_HK |
dc.identifier.citation | Journal Of Global Optimization, 2004, v. 28 n. 2, p. 229-238 | en_HK |
dc.identifier.issn | 0925-5001 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/74234 | - |
dc.description.abstract | In this paper, a hybrid descent method, consisting of a simulated annealing algorithm and a gradient-based method, is proposed. The simulated annealing algorithm is used to locate descent points for previously converged local minima. The combined method has the descent property and the convergence is monotonic. To demonstrate the effectiveness of the proposed hybrid descent method, several multi-dimensional non-convex optimization problems are solved. Numerical examples show that global minimum can be sought via this hybrid descent method. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Springer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0925-5001 | en_HK |
dc.relation.ispartof | Journal of Global Optimization | en_HK |
dc.subject | Descent method | en_HK |
dc.subject | Global minimum | en_HK |
dc.subject | Simulating annealing | en_HK |
dc.title | A hybrid descent method for global optimization | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0925-5001&volume=28&issue=2&spage=229&epage=238&date=2004&atitle=A+hybrid+descent+method+for+global+optimization | en_HK |
dc.identifier.email | Yiu, KFC:cedric@hkucc.hku.hk | en_HK |
dc.identifier.authority | Yiu, KFC=rp00206 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1023/B:JOGO.0000015313.93974.b0 | en_HK |
dc.identifier.scopus | eid_2-s2.0-1542285816 | en_HK |
dc.identifier.hkuros | 99325 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-1542285816&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 28 | en_HK |
dc.identifier.issue | 2 | en_HK |
dc.identifier.spage | 229 | en_HK |
dc.identifier.epage | 238 | en_HK |
dc.identifier.isi | WOS:000188853400007 | - |
dc.publisher.place | Netherlands | en_HK |
dc.identifier.scopusauthorid | Yiu, KFC=24802813000 | en_HK |
dc.identifier.scopusauthorid | Liu, Y=24076453100 | en_HK |
dc.identifier.scopusauthorid | Teo, KL=35569785000 | en_HK |
dc.identifier.citeulike | 5298798 | - |
dc.identifier.issnl | 0925-5001 | - |