Black-Box Optimization Service

Student: Solonkov Denis

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2020

The black-box optimization problem is one of the most prominent in the computation field. However, the cost of creating and learning an optimization framework to optimize a task is very high. Setting up and configuring the optimization software is a difficult task in itself, and it requires substantial computation resources as well. Having a general-purpose service capable of solving a wide range of problems would greatly benefit such cases. Due to the substantial computations requirements of a singular black-box optimization task, distributed computing will be a requirement for such a service. In this paper, we create such a service, compare different algorithms and analyze existing solutions.

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