The selection of the mutation strategy for differential evolution (DE) algorithm plays an
important role in the optimization performance, such as exploration ability, convergence …

In order to overcome the low solution efficiency, insufficient diversity in the later search
stage, slow convergence speed and a high search stagnation possibility of differential …

This paper proposes an integrated optimization technique which combines the features of
the cat swarm optimization (CSO) algorithm with the traditional differential evolution (DE) …

In recent times, system designers are becoming very much apprehensive in reducing the
structural complexity of digital systems with which they deal in practice. However, the …

Signal Processing in modern era, involves rigorous applications of various evolutionary
algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and …

Purpose This paper aims to concentrate on an efficient finite impulse response (FIR) filter
architecture in combination with the differential evolution ant colony algorithm (DE-ACO). For …

Differential Evolution (DE) has established itself as a very useful tool in the domain of
optimization technique in recent times. It has found its paramount importance in various …

Design of different types of digital FIR filter is of paramount significance in various Digital
Signal Processing (DSP) applications. Different optimization techniques can judiciously be …

Modern signal processing applications invoke various evolutionary algorithms in different
areas such as aerodynamic shape optimization, pattern recognition, digital filter design …

Variety of real-world optimization problems can be successfully solved by employing a
powerful technique, called Differential Evolution (DE) algorithm. The popularity of DE has …