Computational Technology for Global Search Based on the Modified Algorithm of the Univariate Nonlocal Optimization
Alexander Gornov, Pavel Sorokovikov, Tatiana Zarodnyuk
Available Online September 2019.
- https://doi.org/10.2991/iwci-19.2019.33How to use a DOI?
- global optimization problem; parabolas algorithm; computational technology; power system
- 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.
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 -