Intelligent Design of Induction Motors by Multiobjective Fuzzy Genetic Algorithm
Yükleniyor...
Dosyalar
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper an approach using multi-objective fuzzy genetic algorithm (MFGA) for optimum design of induction motors is presented. Single-objective genetic algorithm optimization is compared with the MFGA optimization. The efficiency of those algorithms is investigated on motor's performance. The comparison results show that MFGA is able to find more compromise solutions and is promising for providing the optimum design. Besides, a design tool is developed to evaluate and analysis the steady-state characteristics of induction motors.
Açıklama
Anahtar Kelimeler
Multiobjective fuzzy optimization, Genetic algorithms, Induction motor
Kaynak
Journal of Intelligent Manufacturing
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
21
Sayı
Künye
Çunkaş, M., (2010). Intelligent Design of Induction Motors by Multiobjective Fuzzy Genetic Algorithm. Journal of Intelligent Manufacturing, (21), 393-402. Doi: 10.1007/s10845-008-0187-0
