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AN EXACT PENALTY FUNCTION APPROACH FOR INEQUALITY CONSTRAINED OPTIMIZATION PROBLEMS BASED ON A NEW SMOOTHING TECHNIQUE

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dc.creator Öğüt, Hatice
dc.creator YILMAZ, NURULLAH
dc.date 2023-09-30T00:00:00Z
dc.date.accessioned 2025-02-25T10:34:48Z
dc.date.available 2025-02-25T10:34:48Z
dc.identifier 99bafe1f-55db-4e18-9bc4-e890e1adf414
dc.identifier 10.31801/cfsuasmas.1150659
dc.identifier https://avesis.sdu.edu.tr/publication/details/99bafe1f-55db-4e18-9bc4-e890e1adf414/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/100677
dc.description Exact penalty methods are one of the effective tools to solve nonlinear programming problems with inequality constraints. In this study, a new class of exact penalty functions is defined and a new family of smoothing techniques to exact penalty functions is introduced. Error estimations are presented among the original, non-smooth exact penalty and smoothed exact penalty problems. It is proved that an optimal solution of smoothed penalty problem is an optimal solution of original problem. A smoothing penalty algorithm based on the the new smoothing technique is proposed and the convergence of the algorithm is discussed. Finally, the efficiency of the algorithm on some numerical examples is illustrated.
dc.language eng
dc.rights info:eu-repo/semantics/openAccess
dc.title AN EXACT PENALTY FUNCTION APPROACH FOR INEQUALITY CONSTRAINED OPTIMIZATION PROBLEMS BASED ON A NEW SMOOTHING TECHNIQUE
dc.type info:eu-repo/semantics/article


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