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In this paper, a novel design of fractional order differentiator (FOD) based on lattice wave digital filter (LWDF) is proposed which requires minimum number of multiplier for its structural realization. Firstly, the FOD design problem is formulated as an optimization problem using the transfer function of lattice wave digital filter. Then, three optimization algorithms, namely, genetic algorithm (GA),...
In this paper, a new evolutionary optimization technique called flower pollination algorithm is employed to compute the optimal parameters of an unknown infinite impulse response (IIR) system. FPA is inspired by the pollination process of flowers. To achieve a balance between intensification and diversification phases, proper tuning of control parameter has been performed. The proposed FPA based method...
In this paper, an efficient design of a complimentary metal-oxide semiconductor (CMOS) inverter with symmetric switching characteristics is realized using a cuckoo search algorithm (CSA). CSA is an optimization algorithm which is inspired by the brood parasitic behaviour of cuckoos. The performance of the proposed CMOS inverter design using CSA is compared with particle swarm optimization algorithm...
This paper applied a novel global meta-heuristic optimization algorithm, cuckoo search algorithm (CSA) to determine optimal coefficients of a fractional delay-infinite impulse response (FD-IIR) filter and trying to meet the ideal frequency response characteristics. Since fractional delay-IIR filter design is a multi-modal optimization problem, it cannot be computed efficiently using conventional gradient...
The Artificial Bee Colony (ABC) algorithm, proposed by Karaboga in 2005 for real-parameter optimization, is a recently introduced optimization algorithm which simulates the foraging behaviour of a bee colony. The proposed variant employs colony size (population size) reduction mechanism during the evolutionary process. Then modification is done to enhance the perturbation scheme. Further, in order...
Artificial Bee Colony (ABC) algorithm is one approach that has been used to find an optimal solution in numerical optimization problems. This algorithm is inspired by the foraging behavior of honey bees when seeking a quality food source. ABC can sometimes trap into local optimum and also slow to converge. In ABC, the employed bees and onlooker bees carry out exploration and exploitation use the same...
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