Chemical Optimization Algorithm for Fuzzy Controller Design

di Leslie Astudillo (Autore)

Patricia Melin (Autore)

Oscar Castillo (Autore)

Springer International Publishing AG, 2014

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.

• Autore: Leslie Astudillo, Patricia Melin, Oscar Castillo
• Editore: Springer International Publishing AG
• Collana: SpringerBriefs in Computational Intelligence
• Anno: 2014
• Rilegatura: Paperback / softback
• Pagine: 77 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783319052441

Testo in English