Optimization of Dynamic Response of Cantilever Beam by Genetic Algorithm
Optimization is one of the important subjects in various engineering fields. Until now, not much work has been done in optimizing the dynamic response of mechanical structures with large amplitude of vibration.
In recent years, genetic algorithm has been introduced in many engineering areas (robotics, neural networks, fuzzy control, etc.) and has found numerous applications. In this chapter, this method is used for optimization, by maximizing the tip velocity of cantilever beam with constraints of stress and constant volume. In order to increase the optimization power of this algorithm, a penalty function is used along with nonconventional operators (fuzzy crossover operator, artificial selection, and dynamic mutation operator).
Also, the results obtained by the above-mentioned method are compared with the results of other solutions acquired by different optimization methods. It can be concluded that genetic algorithm can be used as a powerful and reliable method to achieve the global optimum for dynamic response of structures.
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