Improved Genetic Algorithm-Based Optimization of Fuzzy Logic Controllers
عنوان مقاله: Improved Genetic Algorithm-Based Optimization of Fuzzy Logic Controllers
شناسه ملی مقاله: FJCFIS01_004
منتشر شده در اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند در سال 1386
شناسه ملی مقاله: FJCFIS01_004
منتشر شده در اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند در سال 1386
مشخصات نویسندگان مقاله:
Amin Chegeni - Microelectronics Research Laboratory Urmia University
Abdollah Khoei - Microelectronics Research Laboratory Urmia University
Khayrollah Hadidi - Microelectronics Research Laboratory Urmia University
خلاصه مقاله:
Amin Chegeni - Microelectronics Research Laboratory Urmia University
Abdollah Khoei - Microelectronics Research Laboratory Urmia University
Khayrollah Hadidi - Microelectronics Research Laboratory Urmia University
This paper presents a new method to improve genetic algorithm-based optimization of fuzzy logic controllers considering both membership functions and rules. We indicate that eliminating the limitation on symmetric membership functions and rules results better optimization. Furthermore, we optimize fuzzy logic controller using genetic algorithm considering whole of system states, which cause the reliability of the controller to improve significantly.
کلمات کلیدی: Fuzzy logic controller, genetic algorithm, optimization
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/52495/