Title :
A Hybrid Algorithm for Global Optimization
Author_Institution :
Dean´s Office, Xi´an Univ. of Sci. &
Abstract :
In this paper, a hybrid optimization algorithm, consisting of a central force optimization and a gradient-based method, is constructed. The central force optimization is used to locate decent points for previously converged local minima. The combined algorithm balance explores and exploits.
Keywords :
"Optimization","Algorithm design and analysis","Force","Search methods","Probes","Standards","Linear programming"
Conference_Titel :
Computational Intelligence and Security (CIS), 2015 11th International Conference on
DOI :
10.1109/CIS.2015.71
