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...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2010
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| 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 http://eprints.utem.edu.my/id/eprint/13841/ http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000061103 |
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