Scopus
YÖKSİS Eşleşti
Efficiency determination of induction motors using multi-objective evolutionary algorithms
Advances in Engineering Software · Ocak 2010
YÖKSİS Kayıtları
Efficiency determination of induction motors using multi objective evolutionary algorithms
Advances in Engineering Software · 2010 SCI-Expanded
DOÇENT TAHİR SAĞ →
Efficiency determination of induction motors using multi objective evolutionary algorithms
Advances in Engineering Software · 2010 SCI-Expanded
PROFESÖR MEHMET ÇUNKAŞ →
Makale Bilgileri
DergiAdvances in Engineering Software
Yayın TarihiOcak 2010
Cilt / Sayfa41 · 255-261
Scopus ID2-s2.0-70449530614
Özet
This paper introduces a method based on multi-objective evolutionary algorithms for the determination of in-service induction motor efficiency. In general, the efficiency is determined by accumulating multiple objectives into one objective by a linear combination and optimizing the resulting single-objective problem. The approach has some drawbacks such that exact information about solution alternatives will not be readily visible. In this paper the multi-objective evolutionary optimization algorithms, the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Strength Pareto Evolutionary Algorithm-2 (SPEA2), are successfully applied to the efficiency determination problem in induction motor. The performances of algorithms are compared on the basis of the obtained results. © 2009 Elsevier Ltd. All rights reserved.
Yazarlar (2)
1
Mehmet Çunkaş
2
Tahir Saǧ
Anahtar Kelimeler
Induction motor
In-situ efficiency determination
Multi-objective evolutionary algorithms
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
33
Atıf
2
Yazar
3
Anahtar Kelime