Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compchemeng.2010.11.010
DC FieldValue
dc.titleA sharp cut algorithm for optimization
dc.contributor.authorInamdar, S.R.
dc.contributor.authorKarimi, I.A.
dc.contributor.authorParulekar, S.J.
dc.contributor.authorKulkarni, B.D.
dc.date.accessioned2014-06-17T07:35:08Z
dc.date.available2014-06-17T07:35:08Z
dc.date.issued2011-12-14
dc.identifier.citationInamdar, S.R., Karimi, I.A., Parulekar, S.J., Kulkarni, B.D. (2011-12-14). A sharp cut algorithm for optimization. Computers and Chemical Engineering 35 (12) : 2716-2728. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compchemeng.2010.11.010
dc.identifier.issn00981354
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63408
dc.description.abstractIn this paper, we introduce a new cutting plane algorithm which is computationally less expensive and more efficient than Kelley's algorithm. This new cutting plane algorithm uses an intersection cut of three types of cutting planes. We find from numerical results that the global search method formed using successive linear programming and a new intersection set is at least twice as fast as Kelley's cutting planes. The necessary mathematical analysis and convergence theorem are provided. The key findings are illustrated via optimization of a cascade of three CSTRs. © 2010 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.compchemeng.2010.11.010
dc.sourceScopus
dc.subject02.60.Pn
dc.subjectConvergence theorem
dc.subjectCutting plane
dc.subjectSharp cut
dc.subjectSuccessive linear programming
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1016/j.compchemeng.2010.11.010
dc.description.sourcetitleComputers and Chemical Engineering
dc.description.volume35
dc.description.issue12
dc.description.page2716-2728
dc.description.codenCCEND
dc.identifier.isiut000296871800013
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