Chemical Optimization Algorithm for Fuzzy Controller Design - Leslie Astudillo,Patricia Melin,Oscar Castillo
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Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 op ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Leslie Astudillo, Patricia Melin, Oscar Castillo |
|---|---|
| Julkaisija | Springer International Publishing |
| Julkaisuvuosi | 2014 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783319052441 |