Teaching genetic algorithm using MATLAB

In this paper, an attractive approach for reaching genetic algorithm (GA) i s presented. This approach is based primarily on using MATLAB in implementi ng the genetic operators: crossover, mutation and selection. A detailed ill ustrative example is presented to demonstrate that GA is capable of finding global or near-global optimum solutions of multi-modal functions. An appli cation of GA in designing a robust controller for uncertain control systems is also given to show its potential in designing engineering intelligent s ystems.