Positive and negative penalty parameters in optimisation subjected to continuous constraints

Simple item page
dc.contributor.authorIlanko, Sinniah
dc.contributor.authorBharathy, Gnana K.
dc.date.accessioned2012-11-01T23:41:58Z
dc.date.available2012-11-01T23:41:58Z
dc.date.copyright2012-10
dc.date.issued2012
dc.description.abstractIn solving variational, differential and optimisation equations subject to constraints, the penalty method is a well known procedure. Recent publications show that with a combination of positive and negative penalty parameters, constraint violations can be determined and controlled. This relies on the monotonic nature of convergence of the penalised model towards the constrained system, which has been proven and demonstrated for systems with discrete constraints. This paper investigates the use of this approach for systems with continuous constraints. It addresses the questions of whether the number of critical penalty parameters for continuous constraints is finite, and whether the positive and negative penalty method result in monotonic and bounded convergence towards the constrained solution, and compares the use of penalty functions in integral form and discrete forms to represent continuous constraints.en_NZ
dc.identifier.citationIlanko, S., & Bharathy, G. K. (2012). Positive and negative penalty parameters in optimisation subjected to continuous constraints. Computers & Structures, 108-109, 83-92.en_NZ
dc.identifier.doi10.1016/j.compstruc.2012.02.012en_NZ
dc.identifier.issn0045-7949
dc.identifier.urihttps://hdl.handle.net/10289/6790
dc.language.isoen
dc.publisherElsevieren_NZ
dc.relation.isPartOfComputers and Structuresen_NZ
dc.relation.ispartofComputers & Structures
dc.subjectcurve fittingen_NZ
dc.subjectnegative penaltyen_NZ
dc.subjectoptimizationen_NZ
dc.titlePositive and negative penalty parameters in optimisation subjected to continuous constraintsen_NZ
dc.typeJournal Articleen_NZ
pubs.begin-page83en_NZ
pubs.elements-id38404
pubs.end-page92en_NZ
pubs.volume108 - 109en_NZ
uow.identifier.article-noCen_NZ
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Name: license.txt
Size: 1.71 KB
Kind: License
Collections
Science and Engineering Papers