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

DOI

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/iwci-19.2019.33
ID  - Gornov2019/09
ER  -