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Genetic Algorithm is the class of algorithm which deals with optimization related problem. Most of the work done under GA is based on software, this paper concentrate on designing the genetic algorithm processor using VHDL. Hardware design as compared to software is time and energy efficient as they are dedicated for single work. Genetic algorithm processor comprises of designing of sub modules, like...
Genetic Algorithm is the class of algorithm which deals with search optimization of related problem. It is based on natural evolution and natural selection process. Most of the work done under GA is based on software, this paper concentrate on designing the genetic algorithm processor using VHDL. Genetic algorithm processor has lots of sub modules, like Control system, ALU, memory unit, register unit,...
The evolution of the modern wireless communication system has increased the demand of antennas, which can work on number of frequencies and should have large bandwidth to accommodate more number of channels. A high gain, wide band Ku-band antenna is realized and simulated using ADS (Advance Design Systems) simulation tool. The purposed design uses inset feed for proper impedance matching. The designed...
Circuit designing using CMOS logic is the promising field for VLSI engineers, but with demand of small and portable devices, new techniques for low power are emerging. This paper proposed four different 10-T subtraction logic using Gate Diffusion Index (a new technique for low power design). Simulation results are performed using 180nm technology using Cadence Virtuoso. Complete verification for performance...
Genetic Algorithm is based on natural evolution. The genetic algorithm is a probabilistic search algorithm that iteratively transforms a set (called a population) of mathematical objects (typically fixed-length binary character strings), each with an associated fitness value, into a new population of offspring objects using the Darwinian principle of natural selection. The research in genetic algorithm...
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