A Diversification Strategy for IIR Filter Design Using PSO

Y. Takase, K. Suyama
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引用次数: 2

Abstract

IIR (Infinite Impulse Response) filter design problem is a non-linear optimization problem. Because PSO (Particle Swarm Optimization) can enumerate solution candidates quickly, it is known as an effective method for such a problem. However, PSO has a drawback that tends to indicate a premature convergence due to a strong directivity. In this paper, PSS (Problem Space Stretch)-PSO is verified to avoid the local minimum stagnation. Several design examples are shown to present the effectiveness of the method.
基于粒子群算法的IIR滤波器多样化设计策略
无限脉冲响应滤波器设计问题是一个非线性优化问题。由于粒子群优化算法能够快速枚举候选解,因此被认为是解决这类问题的有效方法。然而,PSO有一个缺点,即由于强指向性,往往表明过早收敛。本文验证了PSS (Problem Space Stretch)-PSO算法可以避免局部最小停滞。算例表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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