✍ Scribed by Cao Y.J., Wu Q.H.
No coin nor oath required. For personal study only.
Paper, Int. J. Elect. Enging. Educ., Vol. 36, pp. 139–
153. Manchester U.P., 1999. Printed in Great Britain
In this paper, an attractive approach for teaching genetic algorithm (GA) is presented.
This approach is based primarily on using MATLAB in implementing the genetic operators:
crossover, mutation and selection. A detailed illustrative example is presented to demonstrate that
GA is capable of finding global or near-global optimum solutions of multi-modal functions. An
application of GA in designing a robust controller for uncertain control systems is also given to
show its potential in designing engineering intelligent systems.
Информатика и вычислительная техника;Искусственный интеллект;Эволюционные алгоритмы
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