1. A hybrid PBIL-based harmony search method.
- Author
-
Gao, X., Wang, X., Jokinen, T., Ovaska, S., Arkkio, A., and Zenger, K.
- Subjects
NONLINEAR functions ,MATHEMATICAL optimization ,ALGORITHMS ,MACHINE learning ,COMPUTER simulation ,PROBLEM solving ,PERFORMANCE evaluation - Abstract
The harmony search (HS) method is a popular meta-heuristic optimization algorithm, which has been extensively employed to handle various engineering problems. However, it sometimes fails to offer a satisfactory convergence performance under certain circumstances. In this paper, we propose and study a hybrid HS approach, HS-PBIL, by merging the HS together with the population-based incremental learning (PBIL). Numerical simulations demonstrate that our HS-PBIL is well capable of outperforming the regular HS method in dealing with nonlinear function optimization and a practical wind generator optimization problem. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF