| 摘 要: 针对原始哈里斯鹰算法(Harris Hawks Optimization, HHO)存在收敛精度低、易陷入局部最优等问题，提出一种改进的哈里斯鹰算法。首先引入Logistic混沌映射加强扰动，丰富种群多样性，提高算法收敛精度；其次用非线性逃逸能量因子代替线性逃逸能量因子，易于跳出局部最优。为了验证改进效果，利用改进算法求解FIR滤波器设计问题。仿真结果表明，与原始哈里斯鹰算法相比，基于改进算法的FIR滤波器具有更加理想的通带和阻带性能。 |
| 关键词: FIR滤波器；哈里斯鹰算法；Logistic混沌映射；非线性逃逸能量因子 |
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中图分类号: TP311
文献标识码: A
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| Improved Harris Hawks Optimization and Its Application in FIR Filter |
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GUO Jianing, YANG Jing, LIU Ting
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(College of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China)
1369496451@qq.com; yj22121289@163.com; liuting@tjcu.edu.cn
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| Abstract: Aiming at the problems of the original Harris Hawks Optimization (HHO), such as low convergence accuracy and easy to fall into local optimum, this paper proposes an improved HHO. Firstly, Logistic chaos mapping is introduced to strengthen the disturbance, enrich population diversity, and improve the convergence accuracy of the algorithm. Secondly, the nonlinear escape energy factor is used to replace the linear escape energy factor, which is easy to jump out of the local optimum. In order to verify the improvement effect, the improved algorithm is used to solve the FIR filter design problem. Simulation results show that compared with the original HHO, the FIR filter based on the improved algorithm has more ideal passband and stopband performance. |
| Keywords: FIR filter; Harris Hawks Optimization; Logistic chaos mapping; nonlinear escape energy factor |
