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Y. Cao and Q. Wu, “Teaching Genetic Algorithm Using Matlab,” International Journal of Electrical Engineering Education, Vol. 36, No. 2, 1999, pp. 139-153.

has been cited by the following article:

• TITLE: Genetic Algorithm Based Performance Analysis of Self Excited Induction Generator

  AUTHORS: Hassan Ibrahim, Mostafa Metwaly

  KEYWORDS: Self-Excited Induction Generator, Genetic Algorithm Toolbox, Frequency, Terminal Voltage

  JOURNAL NAME: Engineering, Vol.3 No.8, August 12, 2011

  ABSTRACT: This paper investigates the effects of various parameters on the terminal voltage and frequency of self excited induction generator using genetic algorithm. The parameters considered are speed, capacitance, leakage reactance, stator and rotor resistances. Simulated results obtained using genetic algorithm facilitates in exploring the performance of self-excited induction generator. The paper henceforth establishes the application of user friendly genetic algorithm for studying the behaviour of self-excited induction.