This paper develops a novel method—the global descent method—for solving a general class of global optimization problems. This method moves from one local ...
Abstract. We propose an algorithm using only the values of the objective function for solving unconstrained global optimization problems.
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Index information algorithm with local tuning for solving multidimensional global optimization problems with multiextremal constraints · Computer Science, ...
An algorithm that belongs to the class of information methods introduced by R.G. Strongin is proposed. The knowledge of the Lipschitz constant is not supposed.
(DOI: 10.1137/0805041) We propose an algorithm using only the values of the objective function for solving unconstrained global optimization problems.
Local tuning on the behaviour of the objective function and constraints is used during the work of the global optimization procedure in order to accelerate the ...
The new index information global optimization algorithm with local tuning pre- sented below generalizes and evolves two methods. On the one hand, the ...
Index information algorithm with local tuning for solving multidimensional global optimization problems with multiextremal constraints ... Article PDF. Download ...
As a result, methods using local tuning techniques are significantly faster than algorithms working with the global Lipschitz constant. The present paper ...
In this paper we propose a new parallel algorithm for solving global optimization (GO) multidimensional problems. The method unifies two powerful approache.