A new smoothing approach to exact penalty functions for inequality constrained optimization problems

DOI10.3934/naco.2016006zbMath1346.90770OpenAlexW2468715209MaRDI QIDQ317135

Gulden Kapusuz, Nurullah Yilmaz, Ahmet Sahiner

Publication date: 30 September 2016

Published in: Numerical Algebra, Control and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/naco.2016006

zbMATH Keywords

constrained optimizationpenalty functionsmoothing approach

Mathematics Subject Classification ID

Smooth approximations in differential topology (57R12) Nonlinear programming (90C30) Differential geometry of symmetric spaces (53C35)

Related Items (6)

Generalization of hyperbolic smoothing approach for non-smooth and non-Lipschitz functions ⋮ Solving nonsmooth and discontinuous optimal power flow problems via interior-point \(\ell_p\)-penalty approach ⋮ Smoothing techniques in solving non-Lipschitz absolute value equations ⋮ On Smoothingl₁Exact Penalty Function for Constrained Optimization Problems ⋮ On a new smoothing technique for non-smooth, non-convex optimization ⋮ Smoothing approximations for piecewise smooth functions: a probabilistic approach

Cites Work

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• A penalty function method based on smoothing lower order penalty function
• Smoothing methods for nonsmooth, nonconvex minimization
• Optimal covering of plane domains by circles via hyperbolic smoothing
• On smoothing exact penalty functions for nonlinear constrained optimization problems
• A class of smoothing functions for nonlinear and mixed complementarity problems
• Smoothing approximation to \(l_1\) exact penalty function for inequality constrained optimization
• Quadratic smoothing approximation to \(l_{1}\) exact penalty function in global optimazation
• The hyperbolic smoothing clustering method
• Hyperbolic smoothing function method for minimax problems
• A Smoothing Objective Penalty Function Algorithm for Inequality Constrained Optimization Problems
• A smoothing-out technique for min—max optimization
• On Smoothing Exact Penalty Functions for Convex Constrained Optimization
• An exact lower order penalty function and its smoothing in nonlinear programming
• Lower order calmness and exact penalty function
• Non-Linear Programming Via Penalty Functions

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