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本文针对采用压电作动器／传感器的智能结构，研究了振动控制中作动器／传动器的配置以及反馈增益的全局优化设计问题。根据目标函数的特点，提出了一种与梯度下降法相结合的浮点数编码的混合遗传算法，并融合设计了排序选择、自适应交叉变异等一些简单且优良的遗传操作，它能快速有效地解决全局优化问题。通过对一个智能板结构的算例，证明了该方法的可行性和优越性，该方法可以进一步应用于更为复杂的工程优化问题中。
In this paper, the global optimal design of actuator / actuator configuration and feedback gain is studied in the intelligent structure using piezoelectric actuators / sensors. According to the characteristics of the objective function, a hybrid genetic algorithm of floating-point coding combined with gradient descent method is proposed, and some simple and excellent genetic operations, such as sorting selection and adaptive crossover mutation, are designed by fusion, which can quickly and effectively solve Global optimization problem. Through an example of a smart board structure, the feasibility and superiority of this method are proved. This method can be applied to more complex engineering optimization problems.