Open AccessChoice of fitness functions and parameter settings in Genetic Algorithms for analysis of induction motors
Author(s) -
Stela Stoykova,
Vasil Spasov
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/618/1/012024
Subject(s) - genetic algorithm , operator (biology) , fitness function , computer science , noise (video) , quality control and genetic algorithms , process (computing) , induction motor , power (physics) , genetic operator , mathematical optimization , algorithm , machine learning , artificial intelligence , mathematics , meta optimization , engineering , biochemistry , chemistry , physics , repressor , quantum mechanics , voltage , transcription factor , electrical engineering , image (mathematics) , gene , operating system