FIR digital filter design based on quantum bee colony algorithm
نویسندگان
چکیده
In order to resolve the multi-parameter optimization problem of finite impulse response (FIR) digital filter design, a quantum bee colony algorithm (QBCA) is proposed. The proposed QBCA is a multi-dimensional search algorithm for optimization of real numbers, and uses mechanisms of quantum evolution to update the positions of different quantum bees. Computer simulations have showed that FIR digital filters based on the QBCA are superior to previous filters based on particle swarm optimization (PSO), quantumbehaved particle swarm optimization (QPSO) and adaptive quantum-behaved particle swarm optimization (AQPSO) in the convergence speed and optimization results. The effectiveness and superiority of the QBCA are also demonstrated by simulation experiments. Keywords—Quantum bee colony algorithm; artificial bee colony algorithm; FIR digital filter; filter design.
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