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Article: Equivalent formulations and necessary optimality conditions for the lennard–jones problem

TitleEquivalent formulations and necessary optimality conditions for the lennard–jones problem
Authors
KeywordsLennard–Jones problem
L–Points Pattern Lennard–Jones code
Extremal Lennard–Jones code
Potential energy function
Code partition algorithm
Global optimization
Issue Date2002
Citation
Journal of Global Optimization, 2002, v. 22, n. 1-4, p. 97-118 How to Cite?
Abstract© 2002Kluwer Academic Publishers. Printed in the Netherlands. The minimization of molecular potential energy functions is one of the most challenging, unsolved nonconvex global optimization problems and plays an important role in the determination of stable states of certain classes of molecular clusters and proteins. In this paper, some equivalent formulations and necessary optimality conditions for the minimization of the Lennard–Jones potential energy function are presented. A new strategy, the code partition algorithm, which is based on a bilevel optimization formulation, is proposed for searching for an extremal Lennard–Jones code. The convergence of the code partition algorithm is proved and some computational results are reported.
Persistent Identifierhttp://hdl.handle.net/10722/296035
ISSN
2021 Impact Factor: 1.996
2020 SCImago Journal Rankings: 0.861
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, Hong–Xuan-
dc.contributor.authorPardalos, Panos M.-
dc.contributor.authorShen, Zuo–Jun-
dc.date.accessioned2021-02-11T04:52:41Z-
dc.date.available2021-02-11T04:52:41Z-
dc.date.issued2002-
dc.identifier.citationJournal of Global Optimization, 2002, v. 22, n. 1-4, p. 97-118-
dc.identifier.issn0925-5001-
dc.identifier.urihttp://hdl.handle.net/10722/296035-
dc.description.abstract© 2002Kluwer Academic Publishers. Printed in the Netherlands. The minimization of molecular potential energy functions is one of the most challenging, unsolved nonconvex global optimization problems and plays an important role in the determination of stable states of certain classes of molecular clusters and proteins. In this paper, some equivalent formulations and necessary optimality conditions for the minimization of the Lennard–Jones potential energy function are presented. A new strategy, the code partition algorithm, which is based on a bilevel optimization formulation, is proposed for searching for an extremal Lennard–Jones code. The convergence of the code partition algorithm is proved and some computational results are reported.-
dc.languageeng-
dc.relation.ispartofJournal of Global Optimization-
dc.subjectLennard–Jones problem-
dc.subjectL–Points Pattern Lennard–Jones code-
dc.subjectExtremal Lennard–Jones code-
dc.subjectPotential energy function-
dc.subjectCode partition algorithm-
dc.subjectGlobal optimization-
dc.titleEquivalent formulations and necessary optimality conditions for the lennard–jones problem-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1023/a:1013894710280-
dc.identifier.scopuseid_2-s2.0-31244435671-
dc.identifier.volume22-
dc.identifier.issue1-4-
dc.identifier.spage97-
dc.identifier.epage118-
dc.identifier.eissn1573-2916-
dc.identifier.isiWOS:000173468400007-
dc.identifier.issnl0925-5001-

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