Results 21 to 30 of about 16,647 (299)

Optimality and duality for nonsmooth semi-infinite multiobjective programming with support functions [PDF]

open access: yesYugoslav Journal of Operations Research, 2017
In this paper, we consider a nonsmooth semi-infinite multiobjective programming problem involving support functions. We establish sufficient optimality conditions for the primal problem.
Singh Yadvendra, Mishra S.K., Lai K.K.
doaj   +1 more source

Solving Linear Semi-Infinite Programming Problems Using Recurrent Neural Networks [PDF]

open access: yesControl and Optimization in Applied Mathematics, 2016
Linear semi-infinite programming problem is an important class of optimization problems which deals with infinite constraints. In this paper, to solve this problem, we combine a discretization method and a neural network method. By a simple discretization
Alaeddin Malek   +2 more
doaj  

A Spline Smoothing Newton Method for Semi-Infinite Minimax Problems

open access: yesJournal of Applied Mathematics, 2014
Based on discretization methods for solving semi-infinite programming problems, this paper presents a spline smoothing Newton method for semi-infinite minimax problems. The spline smoothing technique uses a smooth cubic spline instead of max function and
Li Dong, Bo Yu, Yu Xiao
doaj   +1 more source

A reduction method for semi-infinite programming by means of a global stochastic approach [PDF]

open access: yes, 2009
We describe a reduction algorithm for solving semi-infinite programming problems. The proposed algorithm uses the simulated annealing method equipped with a function stretching as a multi-local procedure, and a penalty technique for the finite ...
Pereira, Ana I. P. N.   +3 more
core   +1 more source

A solution method for combined semi-infinite and semi-definite programming [PDF]

open access: yes, 2004
In this paper, we develop a discretisation algorithm with an adaptive scheme for solving a class of combined semi-infinite and semi-definite programming problems.
Yang, X. Q., Li, S. J.
core   +2 more sources

On Constrained Set-Valued Semi-Infinite Programming Problems with ρ-Cone Arcwise Connectedness

open access: yesAxioms, 2021
In this paper, we establish sufficient Karush–Kuhn–Tucker (for short, KKT) conditions of a set-valued semi-infinite programming problem (SP) via the notion of contingent epiderivative of set-valued maps. We also derive duality results of Mond–Weir (MWD),
Koushik Das, Savin Treanţă
doaj   +1 more source

Optimality Conditions for Nondifferentiable Multiobjective Semi-Infinite Programming Problems

open access: yesAbstract and Applied Analysis, 2016
We have considered a multiobjective semi-infinite programming problem with a feasible set defined by inequality constraints. First we studied a Fritz-John type necessary condition. Then, we introduced two constraint qualifications and derive the weak and
D. Barilla, G. Caristi, A. Puglisi
doaj   +1 more source

Optimality and duality for nonsmooth semi-infinite E-convex multi-objective programming with support functions

open access: yesInternational Journal for Simulation and Multidisciplinary Design Optimization, 2020
In this paper, we study a nonsmooth semi-infinite multi-objective E-convex programming problem involving support functions. We derive sufficient optimality conditions for the primal problem.
Emam Tarek
doaj   +1 more source

Lagrange duality and saddle point optimality conditions for semi-infinite mathematical programming problems with equilibrium constraints [PDF]

open access: yesYugoslav Journal of Operations Research, 2019
In this paper, we consider a special class of optimization problems which contains infinitely many inequality constraints and finitely many complementarity constraints known as the semi-infinite mathematical programming problem with equilibrium ...
Singh Kunwar V.K.   +2 more
doaj   +1 more source

Numerical experiments in semi-infinite programming [PDF]

open access: yes, 1993
A quasi-Newton algorithm for semi-infinite programming using an L∞ exact penalty function is described, and numerical results are presented. Comparisons with three Newton algorithms and one other quasi-Newton algorithm show that the algorithm is very
Coope, I. D., Price, Christopher John
core  

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