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

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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abdul Ghani, Mohammad Osman, Tokhi
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: SAGE Publications Inc. 2024
Aiheet:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Linkit:http://umpir.ump.edu.my/id/eprint/41331/1/Opposition-based%20manta%20ray%20foraging%20algorithm%20for%20global%20optimization.pdf

Internet

http://umpir.ump.edu.my/id/eprint/41331/1/Opposition-based%20manta%20ray%20foraging%20algorithm%20for%20global%20optimization.pdf

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