基于改进量子遗传算法的有源噪声控制方法

Active noise control method based on a new quantum genetic algorithm

提出了一种基于改进量子遗传算法的格型IIR滤波器结构的有源噪声控制方法——改进的量子遗传算法(IQGA)。其核心是在对量子门更新过程进行改进的基础上,引入群体灾变和自适应搜索网格的策略。IQGA不仅收敛速度快,还可以改变基本遗传算法(GA)的局部搜索能力,克服基本遗传算法存在的未成熟收敛问题。仿真结果表明,该算法可以有效地实现噪声控制。

An improved quantum genetic algorithm（IQGM） is presented for an active noise control method with a lattice IIR filter. The core of the IQGA lies in improving the process of updating quantum gate and introducing the strategies of catastrope and adaptive search grid. Due to faster convergent speed, IQGA can improve the local-search properties and the premature convergence of the standard genetic algorithm. The simulation experiments show IQGM is effective in active noise control.