Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)

Computational Technology for Global Search Based on the Modified Algorithm of the Univariate Nonlocal Optimization

Authors
Alexander Gornov, Pavel Sorokovikov, Tatiana Zarodnyuk
Corresponding Author
Alexander Gornov
Available Online September 2019.
DOI
https://doi.org/10.2991/iwci-19.2019.33How to use a DOI?
Keywords
global optimization problem; parabolas algorithm; computational technology; power system
Abstract
The paper presents an approach to the numerical study of the problems of finding a global extremum of multiextremal functions, based on the use of a parabolas algorithm. As local methods of one-dimensional search, the methods of parabolic interpolation and the golden section are used. The numerical testing of modifications of the implemented approach using known non-convex functions has been carried out. The proposed technique has been applied to investigate a more complex optimization problem of a controlled dynamical power system. The obtained numerical results allowed us to demonstrate the efficiency of the proposed computational technology.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Alexander Gornov
AU  - Pavel Sorokovikov
AU  - Tatiana Zarodnyuk
PY  - 2019/09
DA  - 2019/09
TI  - Computational Technology for Global Search Based on the Modified Algorithm of the Univariate Nonlocal Optimization
BT  - VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)
PB  - Atlantis Press
SP  - 189
EP  - 193
SN  - 1951-6851
UR  - https://doi.org/10.2991/iwci-19.2019.33
DO  - https://doi.org/10.2991/iwci-19.2019.33
ID  - Gornov2019/09
ER  -