Description: In this paper, an attractive approach for teaching genetic algorithm (GA) is pre-sented. 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
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teaching-geentic-algorithms.pdf
teaching-geentic-algorithms-s.pdf
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