Chemical Optimization Algorithm for Fuzzy Controller Design

• Κύριοι συγγραφείς: Astudillo, Leslie (Συγγραφέας), Melin, Patricia (Συγγραφέας), Castillo, Oscar (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: SpringerBriefs in Applied Sciences and Technology,
• Θέματα: Engineering.; Chemistry, Physical and theoretical.; Artificial intelligence.; Computational intelligence.; Control engineering.; Robotics.; Automation.; Computational Intelligence.; Control.; Theoretical and Computational Chemistry.; Robotics and Automation.; Artificial Intelligence (incl. Robotics).
• Φυσική περιγραφή: VIII, 77 p. 32 illus. online resource.
• ISBN: 9783319052458
• ISSN: 2191-530X

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.