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arXiv · 1912.13016

Global optimization of multivariable functions satisfying the Vanderbei condition

Natalya Arutyunova·Aidar Dulliev·Vladislav Zabotin
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Abstract

We propose two algorithms for solving global optimization problems on a hyperrectangle with an objective function satisfying the Vanderbei condition (this function is also called an $\varepsilon$-Lipschitz continuous function). The algorithms belong to the class of non-uniform cover-ings methods. For the algorithms we prove propositions about convergence to an $\varepsilon$-solution in terms of the objective function. We illustrate the performance of the algorithms using several test numerical examples with non-Lipschitz continuous objective functions.

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Natalya Arutyunova, Aidar Dulliev, Vladislav Zabotin. 2019-12-30. Global optimization of multivariable functions satisfying the Vanderbei condition. https://arxiv.org/abs/1912.13016

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