Chemical optimization algorithm for fuzzy controller design [electronic resource] / Leslie Astudillo, Patricia Melin, Oscar Castillo.
2014
Q342
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Title
Chemical optimization algorithm for fuzzy controller design [electronic resource] / Leslie Astudillo, Patricia Melin, Oscar Castillo.
Author
Astudillo, Leslie, author.
ISBN
9783319052458 electronic book
3319052454 electronic book
9783319052441
3319052454 electronic book
9783319052441
Published
Cham : Springer, 2014.
Language
English
Description
1 online resource (viii, 77 pages) : illustrations.
Item Number
10.1007/978-3-319-05245-8 doi
Call Number
Q342
Dewey Decimal Classification
006.3
Summary
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
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from PDF title page (SpringerLink, viewed March 17, 2014).
Series
SpringerBriefs in applied sciences and technology. Computational intelligence.
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Table of Contents
Theory and Background
Chemical Definitions
The Proposed Chemical Reaction Algorithm
Application Problems
Simulation Results
Conclusions.
Chemical Definitions
The Proposed Chemical Reaction Algorithm
Application Problems
Simulation Results
Conclusions.