DESIGN OPTIMIZATION OF SUBMERSIBLE INDUCTION MOTORS by MULTIOBJECTIVE FUZZY GENETIC ALGORITHM
Küçük Resim Yok
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
GAZI UNIV, FAC ENGINEERING ARCHITECTURE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents multiobjective fuzzy genetic algorithm optimization approach to a submersible motor design. Utilizing the concept of fuzzy sets and convex fuzzy decision making, the motor design task is formulated as a multiobjective fuzzy optimization problem and solved using a genetic algorithm. The two-dimensional Finite Element Method (FEM) is then used to confirm the validity of the optimal design. The optimization results show the effectiveness and achievement of the proposed method.
Açıklama
Anahtar Kelimeler
Multiobjective fuzzy optimization, submersible motor, genetic algorithms, finite element method
Kaynak
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
23
Sayı
3
