Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers
Joint Authors
Castillo, Oscar
Cervantes, Leticia
Hidalgo, Denisse
Martinez-Soto, Ricardo
Source
Advances in Operations Research
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation probability in a genetic algorithm.
The performance of this method is presented with the benchmark problem of flight control and results show how it can decrease the error during the flight of an airplane using fuzzy logic for some parameters of the genetic algorithm.
In this case of study, we use fuzzy systems for adapting two parameters of the genetic algorithm to improve the design of a type 2 fuzzy controller and enhance its performance to achieve flight control.
Finally, a statistical test is presented to prove the performance enhancement in the application using fuzzy adaptation in the genetic algorithm.
It is important to mention that not only is this idea for control problems but also it can be used in pattern recognition and many different problems.
American Psychological Association (APA)
Cervantes, Leticia& Castillo, Oscar& Hidalgo, Denisse& Martinez-Soto, Ricardo. 2018. Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers. Advances in Operations Research،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1122579
Modern Language Association (MLA)
Cervantes, Leticia…[et al.]. Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers. Advances in Operations Research No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1122579
American Medical Association (AMA)
Cervantes, Leticia& Castillo, Oscar& Hidalgo, Denisse& Martinez-Soto, Ricardo. Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers. Advances in Operations Research. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1122579
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122579