Astudillo / Melin / Castillo Chemical Optimization Algorithm for Fuzzy Controller Design

1. Auflage 2014
ISBN: 978-3-319-05245-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 77 Seiten, eBook

Reihe: SpringerBriefs in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Astudillo, Leslie

Melin, Patricia

Castillo, Oscar

Inhaltsverzeichnis

Introduction.-Theory and Background.-Chemical Definitions.-The Proposed Chemical Reaction Algorithm.-Application Problems.-Simulation Results.-Conclusions.