Efficiency Determination of Induction Motors Using Multi-Objective Evolutionary Algorithms

Yükleniyor...
Küçük Resim

Tarih

2010

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