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Chemical Optimization Algorithm for Fuzzy Controller Design

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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.


Titel: Chemical Optimization Algorithm for Fuzzy Controller Design
Autoren/Herausgeber: Leslie Astudillo, Patricia Melin, Oscar Castillo
Aus der Reihe: SpringerBriefs in Computational Intelligence
Ausgabe: 2014

ISBN/EAN: 9783319052441

Seitenzahl: 77
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 150 g
Sprache: Englisch - Newsletter
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