Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hyper-optimization with Gaussian Process and Differential Evolution
  Algorithm   Optimization of problems with high computational power demands is a
challenging task. A probabilistic approach to such optimization called Bayesian
optimization lowers performance demands by solving mathematically simpler model
of the problem. Selected approach, Gaussian Process, models problem using a
mixture of Gaussian functions. This paper presents specific modifications of
Gaussian Process optimization components from available scientific libraries.
Presented modifications were submitted to BlackBox 2020 challenge, where it
outperformed some conventionally available optimization libraries.

16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
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The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
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The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph