Chemical Optimization Algorithm for Fuzzy Controller Design

✍ Scribed by Leslie Astudillo, Patricia Melin, Oscar Castillo (auth.)

• Publisher: Springer International Publishing
• Year: 2014
• Tongue: English
• Leaves: 81
• Series: SpringerBriefs in Applied Sciences and Technology : SpringerBriefs in Computational Intelligence
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-viii
Introduction....Pages 1-3
Theory and Background....Pages 5-9
Chemical Definitions....Pages 11-12
The Proposed Chemical Reaction Algorithm....Pages 13-18
Application Problems....Pages 19-26
Simulation Results....Pages 27-56
Conclusions....Pages 57-58
Back Matter....Pages 59-77

✦ Subjects

Computational Intelligence; Control; Theoretical and Computational Chemistry; Robotics and Automation; Artificial Intelligence (incl. Robotics)