Title: Improved bee colony algorithm based on knowledge strategy for digital filter design

Authors: Zhongkai Zhao; Da Yin; Yilin Jiang

Addresses: College of Information and Communication Engineering, Harbin Engineering University, Harbin, China ' College of Information and Communication Engineering, Harbin Engineering University, Harbin, China ' College of Information and Communication Engineering, Harbin Engineering University, Harbin, China

Abstract: An improved bee colony algorithm (IBCA) is proposed, which is a global stochastic searching optimisation algorithm possessing properties of both cultural algorithm and artificial bee colony (ABC) algorithm. Digital filter design involves multi-parameter optimisation, on which the existing optimisation algorithms don't work efficiently. This paper focuses on introducing IBCA and its performance in designing FIR digital filter and IIR digital filter. After presenting the basic knowledge about IBCA, we show how to implement it in FIR digital filter and IIR digital filter design with some adaptive measures to enhance its performance. It has been demonstrated by simulation results that the proposed IBCA outperforms particle swarm optimisation (PSO), quantum particle swarm optimisation (QPSO) and ABC algorithms in finding out the global optima of the problem more rapidly.

Keywords: bee colony optimisation; cultural algorithms; digital filter design; quantum PSO; QPSO; particle swarm optimisation; IIR filters; FIR filters; artificial bee colony; simulation.

DOI: 10.1504/IJCAT.2013.054355

International Journal of Computer Applications in Technology, 2013 Vol.47 No.2/3, pp.241 - 248

Available online: 05 Jun 2013 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article