Open AccessParameter estimation for chaotic systems based on hybrid biogeography-based optimization
Author(s) -
Jian Lin,
Li Xu
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.030505
Subject(s) - harmony search , chaotic , robustness (evolution) , computer science , mathematical optimization , optimization problem , chaotic systems , estimation theory , algorithm , mathematics , artificial intelligence , biology , biochemistry , gene
Parameter estimation for chaotic system is, in fact, a multi-dimensional optimization problem. By combining biogeography-based optimization (BBO) with harmony search (HS) and opposition-based learning (OBL), a hybrid BBO scheme is proposed for solving the chaotic parameter estimation problem. The HS is used to enhance the local search ability of BBO, and OBL is employed to increase the diversity of the initial population, thereby improving the optimizing performance. The effectiveness and robustness of the proposed scheme are verified by numerical simulations on two typical chaotic systems.