Efficiency Determination of Induction Motors Using Multi-Objective Evolutionary Algorithms
Yükleniyor...
Dosyalar
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Sci Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
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.
Açıklama
Anahtar Kelimeler
Multi-objective evolutionary algorithms, Induction motor, In-situ efficiency determination
Kaynak
Advances in Engineering Software
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
41
Sayı
Künye
Çunkaş, M., Sağ, T., (2010). Efficiency Determination of Induction Motors Using Multi-Objective Evolutionary Algorithms. Advances in Engineering Software, (41), 255-261. Doi: 10.1016/j.advengsoft.2009.07.008