Global and local optimality conditions in set-valued optimization problems [PDF]
We consider both global and local conditions for optimization problems governed by set-valued maps. For global conditions, we present a comparative study and then we impose the weaker ones to obtain optimality conditions.
M. Durea
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Sufficient Global Optimality Conditions for Bivalent Quadratic Optimization [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mustafa C Pinar
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A sufficient conditions for global quadratic optimization
This paper is devoted to global optimality conditions for quadratic optimization problems in a real space of dimension n. More precisely, we are concerned with nonconvex quadratic optimization problems with linear constraints. We present some sufficient
Mourad Naffouti, Abdeljelil Baccari
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Global optimality conditions and optimization methods for quadratic assignment problems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhiyou Wu
exaly +3 more sources
Optimal Control Problems Involving Combined Fractional Operators with General Analytic Kernels
Fractional optimal control problems via a wide class of fractional operators with a general analytic kernel are introduced. Necessary optimality conditions of Pontryagin type for the considered problem are obtained after proving a Gronwall type ...
Faïçal Ndaïrou, Delfim F. M. Torres
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Optimal control of an abstract evolution variational inequality with application to homogenized plasticity [PDF]
The paper is concerned with an optimal control problem governed by a state equation in form of a generalized abstract operator differential equation involving a maximal monotone operator.
Hannes Meinlschmidt +2 more
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Second-order optimality conditions for interval-valued functions
This work is included in the search of optimality conditions for solutions to the scalar interval optimization problem, both constrained and unconstrained, by means of second-order optimality conditions.
Gabriel Ruiz-Garzón +3 more
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Conditional simulation for efficient global optimization [PDF]
A classic Kriging or Gaussian process (GP) metamodel estimates the variance of its predictor by plugging-inthe estimated GP (hyper)parameters; namely, the mean, variance, and covariances. The problem is that this predictor variance is biased. To solve this problem for deterministic simulations, we propose “conditional simulation” (CS), which gives ...
Kleijnen, Jack P.C., Mehdad, E.
openaire +3 more sources
A direct adaptive generalized predictive controllers and some of its global convergence properties [PDF]
This paper is concerned with the direct approach of adaptive generalized predictive control. Optimality of generalized predictive control is analyzed and an implicit model with control law parameters is developed. A direct adaptive generalized predictive
Wei Wang, Rolf Henriksen
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Global Optimality Conditions for Nonlinear Programming Problems with Linear Equality Constraints
Some necessary global optimality conditions and sufficient global optimality conditions for nonconvex minimization problems with a quadratic inequality constraint and a linear equality constraint are derived.
Guoquan Li, Yan Wang
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