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001 -Identificacion Principal del registro
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Identificacion Principal del registro
INGC-EBK-000457
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003 -Control Number Identifier
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Control Number Identifier
AR-LpUFI
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005 -LAST MODIFICATION DATE
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LAST MODIFICATION DATE
20160907115755
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007 -CONTROL FIELD
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CONTROL FIELD
cr nn 008mamaa
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008 -CONTROL FIELD
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CONTROL FIELD
140313s2014 gw | s |||| 0|eng d
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020 -INTERNATIONAL STANDARD BOOK NUMBER
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a
International Standard Book Number
9783319052458
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024 -OTHER STANDARD IDENTIFIER
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a
Standard number or code
10.1007/978-3-319-05245-8
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100 -MAIN ENTRY--PERSONAL NAME
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a
Personal name
Astudillo, Leslie.
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245 -TITLE STATEMENT
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a
Title
Chemical Optimization Algorithm for Fuzzy Controller Design
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h
Medium
[libro electrónico] /
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c
Statement of responsibility, etc
by Leslie Astudillo, Patricia Melin, Oscar Castillo.
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260 -PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
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a
Place of publication, distribution, etc
Cham :
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b
Name of publisher, distributor, etc
Springer International Publishing :
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b
Name of publisher, distributor, etc
Imprint: Springer,
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c
Date of publication, distribution, etc
2014.
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300 -PHYSICAL DESCRIPTION
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a
Extent
viii, 77 p. :
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b
Other physical details
il.
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490 -SERIES STATEMENT
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a
Series statement
SpringerBriefs in Applied Sciences and Technology,
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x
International Standard Serial Number
2191-530X
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505 -FORMATTED CONTENTS NOTE
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a
Formatted contents note
Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions.
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520 -SUMMARY, ETC.
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a
Summary, etc
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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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Engineering.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Chemistry, Physical and theoretical.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Computational intelligence.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Control engineering.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Robotics.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Automation.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Control.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Theoretical and Computational Chemistry.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Artificial Intelligence (incl. Robotics).
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700 -ADDED ENTRY--PERSONAL NAME
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a
Personal name
Melin, Patricia.
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700 -ADDED ENTRY--PERSONAL NAME
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a
Personal name
Castillo, Oscar.
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856 -ELECTRONIC LOCATION AND ACCESS
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u
Uniform Resource Identifier (R)
http://dx.doi.org/10.1007/978-3-319-05245-8
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942 -Biblioitem information
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929 -Medio de adquisicion
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