Título: |
Chemical Optimization Algorithm for Fuzzy Controller Design by Leslie Astudillo, Patricia Melin, Oscar Castillo. |
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Autor:
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Astudillo, Leslie.
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Otros autores: |
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Castillo, Oscar.
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Melin, Patricia.
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Editado por: |
Springer International Publishing :;Imprint: Springer,
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Año de publicación: |
2014.
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Lugar de publicación: |
Cham :
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Descripción física: |
viii, 77 p. : il. |
ISBN: |
9783319052458
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Colección: |
SpringerBriefs in Applied Sciences and Technology,
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Materias: |
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Theoretical and Computational Chemistry. |
Artificial Intelligence (incl. Robotics). |
Control. |
Automation. |
Robotics. |
Chemistry, Physical and theoretical. |
Control engineering. |
Computational intelligence. |
Engineering. |
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Notas: |
Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions. |
Sumario: |
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. |
URL: |
http://dx.doi.org/10.1007/978-3-319-05245-8
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