Çunkaş, MehmetSağ, Tahir2020-03-262020-03-262010Çunkaş, 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.2009.07.0080965-99781873-5339https://dx.doi.org/10.1016/j.advengsoft.2009.07.008https://hdl.handle.net/20.500.12395/24877This 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.en10.1016/j.advengsoft.2009.07.008info:eu-repo/semantics/openAccessMulti-objective evolutionary algorithmsInduction motorIn-situ efficiency determinationArticle41255261Q1WOS:000272858700019Q3