Chaotic invasive weed optimization algorithm with application to parameter estimation of chaotic systems |
| |
Authors: | Mohamadreza Ahmadi Hamed Mojallali |
| |
Affiliation: | 1. Department of Electrical Engineering, University of Chile, Av. Tupper 2007, Santiago de Chile, Chile;2. Advanced Mining Technology Center, Av. Tupper 2007, Santiago de Chile, Chile |
| |
Abstract: | This paper introduces a novel hybrid optimization algorithm by taking advantage of the stochastic properties of chaotic search and the invasive weed optimization (IWO) method. In order to deal with the weaknesses associated with the conventional method, the proposed chaotic invasive weed optimization (CIWO) algorithm is presented which incorporates the capabilities of chaotic search methods. The functionality of the proposed optimization algorithm is investigated through several benchmark multi-dimensional functions. Furthermore, an identification technique for chaotic systems based on the CIWO algorithm is outlined and validated by several examples. The results established upon the proposed scheme are also supplemented which demonstrate superior performance with respect to other conventional methods. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|