@inproceedings{b96dae5cb82e4c128abb45e817b7b0a2,
title = "Spherical Local Search for Global Optimization",
abstract = "This paper proposed spherical local search (SLS) for solving unconstrained optimization problems in three dimensions. The algorithm begins with a randomly chosen point in the search domain. Then, spherical trust region around this point is defined by the radius of SLS; where any point in this region is feasible. Finally, SLS can move from current search point to obtain a new best point by using three strategies of search: radius, azimuth, and inclination. These strategies are modified during the search process. SLS is tested on the set of the CEC{\textquoteright}2005 special session on real parameter optimization. Results show the robustness and effectiveness of the proposed method.",
keywords = "Global optimization, Local search, Optimization, Spherical local search, Unconstrained optimization",
author = "El-Shorbagy, \{M. A.\} and Hassanien, \{Aboul Ella\}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 4th International Conference on Advanced Intelligent Systems and Informatics, AISI 2018 ; Conference date: 03-09-2018 Through 05-09-2018",
year = "2019",
doi = "10.1007/978-3-319-99010-1\_28",
language = "English",
isbn = "9783319990095",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "304--312",
editor = "Azar, \{Ahmad Taher\} and Hassanien, \{Aboul Ella\} and Khaled Shaalan and Tolba, \{Mohamed F.\}",
booktitle = "Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018",
address = "Germany",
}