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Wykaz obszarów badawczych związanych z tagiem Hybrid-methods:

# Obszar badawczy Dziedzina naukowa

In recent years, the development of optimization algorithms tends toward specialization. State-of-the-art solutions primarily require laborious setting of multiple initial parameters, which in real-world scenarios can be difficult, if at all possible. In this view, we advocate the need to shifting the focus from the highly specialized approaches towards more universal problem-agnostic methods. To this end we will focus in this project on non-parametric control policies that could successfully replace some of the complex highly parameterized procedures. The key concept is to apply non-parametric methods for steering the optimization process and abstracting from any a priori knowledge about the problem being solved. Realization of the project will involve 2 PhD students and the tasks will be shared between them. Both students will have the possibility to apply for a monthly stipend (for the period of up to 36 months) granted by the National Science Center, as part of the OPUS project.