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The cross-entropy method and its application to minimize the ripple of magnetic levitation forces of a maglev system
(IOS Press, 2010-01-01)
This paper explores firstly the potential of a new evolutionary method - the Cross-Entropy (CE) method in solving continuous inverse electromagnetic problems. For this purpose, an adaptive updating formula for the smoothing ...
Automatic differentiation and spectral projected gradient methods for optimal control problems
(Taylor & Francis LtdAbingdonInglaterra, 1998)
Newton's Method May Fail To Recognize Proximity To Optimal Points In Constrained Optimization
(Springer HeidelbergHeidelberg, 2016)
Analog neural nonderivative optimizers
(Institute of Electrical and Electronics Engineers (IEEE), 1998-07-01)
Continuous-time neural networks for solving convex nonlinear unconstrained;programming problems without using gradient information of the objective function are proposed and analyzed. Thus, the proposed networks are ...
Space mapping optimization of microwave circuits exploiting surrogate models
(IEEE Trans. Microwave Theory Tech.;48, 2000-12)
On the solution of mathematical programming problems with equilibrium constraints
(2002-02-01)
Mathematical programming problems with equilibrium constraints (MPEC) are nonlinear programming problems where the constraints have a form that is analogous to first-order optimality conditions of constrained optimization. ...
On the solution of mathematical programming problems with equilibrium constraints
(2002-02-01)
Mathematical programming problems with equilibrium constraints (MPEC) are nonlinear programming problems where the constraints have a form that is analogous to first-order optimality conditions of constrained optimization. ...
Analog neural nonderivative optimizers
(Institute of Electrical and Electronics Engineers (IEEE), 1998-07-01)
Continuous-time neural networks for solving convex nonlinear unconstrained;programming problems without using gradient information of the objective function are proposed and analyzed. Thus, the proposed networks are ...
A common Tabu search algorithm for the global optimization of engineering problems
(Elsevier B.V., 2014)
Yield-driven electromagnetic optimization via space mapping-based neuromodels
(Int. J. RF and Microwave CAE, 2002-01)