Chemical optimization algorithm for fuzzy controller design [electronic resource]
- 作者： Astudillo, Leslie.
- 其他作者：
- 其他題名：
- SpringerBriefs in applied sciences and technology.
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： SpringerBriefs in applied sciences and technology. Computational intelligence,
- 主題： Computational intelligence , Mathematical optimization , Fuzzy systems , Engineering , Computational intelligence , Control. , Theoretical and Computational Chemistry. , Robotics and Automation. , Artificial Intelligence (incl. Robotics)
- ISBN： 9783319052458 (electronic bk.) 、 9783319052441 (paper)
-
FIND@SFXID:
CGU
- 資料類型: 電子書
-
讀者標籤：
- 系統號： 005113897 | 機讀編目格式
館藏資訊
In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions. This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.