The hybrid technique of Swine Influenza Model Based Optimization (SIMBO) and Genetic Algorithm (GA) for designing linear phase FIR low pass filter has been presented in this paper. The major difficulties using SIMBO algorithm in designing filter was premature convergence and unacceptable computational cost. To address this problem, a hybrid SIMBO-GA is proposed where GA is used to help SIMBO escape from local optima and prevent premature convergence. DEPSO, GLPSO DVN are adopted for comparison.

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... In contrast with aforementioned algorithms it has been divulged that hybrid SIMBO-GA seems to be promising tool for optimum FIR filter design. This paper presents novel and accurate hybrid optimization techniques that involve the best practices of both algorithms that help to save the individuals from being trapped in local minima, thus guiding them towards the global solution. Simulation results depicted that proposed algorithm outperforms DEPSO, LPSO, LGPSO DVN in the accuracy of magnitude response of speed.