Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller
This study investigates the use of Genetic Algorithms (GA) to design and implement of Fuzzy Logic Controllers (FLC). A fuzzy logic is fully defined by its membership function. What is the best to determine the membership function is the first question that has be tackled. Thus it is important to...
Saved in:
Main Author: | Ismail, H. Muh Yusuf |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2010
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/13841/1/Genetic__Algorithms_in_optimizing_membership_funtion_for_fuzzy_logic_controller24_pages.pdf http://eprints.utem.edu.my/id/eprint/13841/2/Genetic__Algorithms_in_optimizing_membership_funtion_for_fuzzy_logic_controller.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fuzzy logic – genetic algorithm based maximum power point tracking in photovoltaic system
by: Tukeman, Zalifah
Published: (2012) -
A New Technique To Design Coating Structure For Energy Saving Glass Using The Genetic Algorithm
by: Azmin, Farah Ayuni
Published: (2017) -
Optimizing lossless compression by normalized data length in Huffman Algorithm
by: Tonny, Hidayat
Published: (2022) -
Dynamic input membership scheme for a fuzzy logic DC motor controller /
by: Tan, Hock Leong
Published: (2005) -
Adaptive fuzzy logic handover algorithms for next generation mobile networks
by: Kwong, Chiew Foong
Published: (2015)