Results 11 to 20 of about 21,778 (301)

Smoothing of the lower-order exact penalty function for inequality constrained optimization [PDF]

Journal of Inequalities and Applications, 2016
In this paper, we propose a method to smooth the general lower-order exact penalty function for inequality constrained optimization. We prove that an approximation global solution of the original problem can be obtained by searching a global solution of ...
Shujun Lian, Yaqiong Duan
doaj   +3 more sources

On an exact penality result and new constraint qualifications for mathematical programs with vanishing constraints [PDF]

Yugoslav Journal of Operations Research, 2019
In this paper, we considered the mathematical programs with vanishing constraints or MPVC. We proved that an MPVC-tailored penalty function, introduced in [5], is still exact under a very weak and new constraint qualification.
Nath Triloki, Khare Abeka
doaj   +1 more source

Design and Application of Intelligence Algorithms in Continuous Fermentation of Glycerol

IEEE Access, 2021
The bioconversion of 1,3-propanediol from glycerol by Klebsiella pneumoniae can be described by a nonlinear dynamic system. Some work has been done on the identification and optimization of the system, in which the dilution rate of glycerol is considered
Guoli Wu, Juan Wang, Zongli Ruan
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An Exact Penalty Approach and Conjugate Duality for Generalized Nash Equilibrium Problems with Coupling and Shared Constraints

Известия Иркутского государственного университета: Серия "Математика", 2020
Generalized Nash Equilibrium Problems (GNEP) have been attracted by many researchers in the field of game theory, operational research, engineering, economics as well as telecommunication in recent two decades.
L. Altangerel, G. Battur
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The Exact Penalty Function Method in Constrained Optimal Control Problems [PDF]

, 1994
This paper uses the exact penalty function method to transform a constrained optimal control problem into an unconstrained one and establishes an equivalence between the two problems in the "local" sense. Necessary and sufficient condi tions are obtained
Xing, A.Q.
core   +1 more source

Optimal Diffusion Learning Over Networks—Part II: Multitask Algorithms

IEEE Open Journal of Signal Processing, 2022
In Part I of this presentation, we have formulated single and multitask quadratic optimization problems, where agents are subject to quadratic, smoothing constraints over a graph.
Ricardo Merched
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A penalty barrier framework for nonconvex constrained optimization [PDF]

Journal of Nonsmooth Analysis and Optimization
We consider minimization problems with structured objective function and smooth constraints, and present a flexible framework that combines the beneficial regularization effects of (exact) penalty and interior-point methods.
Alberto De Marchi, Andreas Themelis
doaj   +1 more source

Formulations and Approximations of Branch Flow Model for General Power Networks

Journal of Modern Power Systems and Clean Energy, 2022
The formulations and approximations of the branch flow model for general (radial and mesh) power networks (General-BranchFlow) are given in this paper.
Zhao Yuan
doaj   +1 more source

Quadratic smoothing approximation to 1/2-order exact penalty function [PDF]

, 2010
In this paper, we propose a quadratic smoothing approximation to the 1/2-order exact penalty function. It is shown that when the penalty parameter of the smoothed penalty problem with the smoothing approximation function being penalty function is ...
Wu, Zhiyou, Bai, Fusheng, Fusheng Bai, Zhiyou Wu   +3 more
core   +1 more source

Exact Penalty Methods [PDF]

, 1994
. Exact penalty methods for the solution of constrained optimization problems are based on the construction of a function whose unconstrained minimizing points are also solution of the constrained problem.
DI PILLO, Gianni, G. Pillo, G. Di Pillo
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