Abstract
Infinite impulse response (IIR) filter design is a highly constrained multiobjective optimization problem involving conflicting objectives. In this paper, particle swarm optimization (PSO) is purposed to efficiently and effectively handle multiple conflicting objectives of IIR filter design. The weighted sum approach is used to minimize magnitude response and phase response of digital IIR filter simultaneously. The value of weights are searched using PSO along with filter coefficients thus assigning different weight vector to each individual particle. The order of the filter is controlled by a control gene whose value is also optimized along with the filter coefficients to obtain optimum order of designed IIR filter. The proposed algorithm shows competitive results with improved diversity and convergence
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