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Rational approximations in terms of infinite impulse response filter for the full band digital differentiator (DD) based on a metaheuristic optimization technique called Adaptive G-best Guided Gravitational Search Algorithm (GGSA) is proposed in this paper. The use of adaptive acceleration coefficients in GGSA provides a better balance in the intensification and the diversification of GGSA as compared...
Design of wideband and accurate Fractional Order Digital Differentiator (FODD) in terms of infinite impulse response (IIR) filter based on a metaheuristic optimization technique called Gravitational Search Algorithm (GSA) is presented in this work. In comparison with the FODDs based on four other metaheuristics, the GSA based design consistently demonstrates a superior solution quality and an improved...
In this paper, an improved version of Gravitational Search Algorithm (GSA) called GSA with Wavelet Mutation (GSAWM) is applied for the design of 8th order infinite impulse response (IIR) band pass digital filter. Incorporation of mutation strategy into the conventional GSA technique not only enhances its searching capability but also the chance of convergence to near global solution is increased many...
This paper presents an optimal design of linear phase digital finite impulse response (FIR) low pass (LP) filter using Adaptive Particle Swarm Optimization (APSO). APSO is an improved version of conventional PSO in which estimation of evolution state determines one of the four phases such as exploration, exploitation, convergence and jump-out for the entire optimization process. These modifications...
In this paper an efficient optimization technique called Harmony Search (HS) algorithm is considered for IIR adaptive system identification problem. The proposed technique HS performs a structured randomized search of an unknown vector within a multidimensional search space for finding the optimal solution. Better exploration and exploitation of entire search space ensure the avoidance of premature...
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