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A filled function method applied to smooth unconstrained global optimization

Taieb Hamaizia

Abstract


The filled function method is an effective approach to find the global minimizer of multidimensional functions. In this paper, we present a new filled function for the smooth nonconvexe global optimization problem with only one parameter is proposed, which is continuously differentiable and proved to satisfy all conditions of the filled function definition.

Keywords


Local optimization, Global Optimization, Filled function, Smooth optimization.

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