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Opposition-based manta ray foraging algorithm for global optimization and its application to optimize nonlinear type-2 fuzzy logic control

Interval Type-2 Fuzzy Logic Control (IT2FLC) possesses a high control ability in a way that it can optimally handle the presence of uncertainty in a system dynamic. However, the design of such a control scheme is a challenging task due to its complex structure and nonlinear behavior. A Manta Ray For...

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Bibliographic Details
Main Authors: Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abdul Ghani, Mohammad Osman, Tokhi
Format: Article
Language:English
Published: SAGE Publications Inc. 2024
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/41331/1/Opposition-based%20manta%20ray%20foraging%20algorithm%20for%20global%20optimization.pdf
http://umpir.ump.edu.my/id/eprint/41331/
https://doi.org/10.1177/14613484241242737
https://doi.org/10.1177/14613484241242737
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http://umpir.ump.edu.my/id/eprint/41331/1/Opposition-based%20manta%20ray%20foraging%20algorithm%20for%20global%20optimization.pdf
http://umpir.ump.edu.my/id/eprint/41331/
https://doi.org/10.1177/14613484241242737
https://doi.org/10.1177/14613484241242737

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