Chemical Optimization Algorithm for Fuzzy Controller Design

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 benchmar...

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Bibliographic Details
Main Authors: Astudillo, Leslie. (Author, http://id.loc.gov/vocabulary/relators/aut), Melin, Patricia. (http://id.loc.gov/vocabulary/relators/aut), Castillo, Oscar. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:SpringerBriefs in Computational Intelligence,
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-05245-8
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300 |a VIII, 77 p. 32 illus.  |b online resource. 
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505 0 |a Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions. 
520 |a 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. 
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