Chemical Optimization Algorithm for Fuzzy Controller Design

丛 书 名：SpringerBriefs in Applied Sciences and Technology

版本说明：1

作     者：Leslie Astudillo, Patricia Melin, Oscar Castillo (auth.) 

I S B N：(纸本) 9783319052441;9783319052458 

出 版 社：Springer International Publishing 

出 版 年：2014年

页      数：81页

摘      要：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.