一种快速收敛的遗传算法及其应用

为了解决遗传算法的收敛速度和全局收敛性之间的矛盾，提出了一种快速收敛的遗传算法，即“适应度缩放”加“有偏外来移民”的遗传算法。将该方法应用于柔性结构振动主动控制中的作动器／传感器位置及反馈增益的优化，其优化效果明显优于传统的优化算法。数字仿真结果表明，对于复杂非线性约束优化问题，该遗传算法具有较好的快速收敛性和全局收敛性，由优化了位置的作动器／传感器和优化增益的控制系统具有良好的减振效果。

Fast Converging Genetic Algorithm and Its Application

In order to solve the main conflict of the convergence speed with the global astringency, a fast converging genetic algorithm (GA) is proposed. This improved GA is applied to optimize the sensor/actuator placement and feedback gain in active control of flexible structure. The simulating results indicate that the improved GA has the characters of high convergent efficiency and good quality of solutions for complicated nonlinear constrained optimization problem, and that the closed loop active control system can effectively suppress vibration.