Performance Comparison of Genetic and Differential Evolution Algorithms for Digital FIR Filter Design

Abstract

Abstract. Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages; finding the true global minimum of a multi modal search space regardless of the initial parameter values, fast convergence, and using a few control parameters. DE algorithm which has been proposed particulary for numeric optimization problems is a population based algorithm like genetic algorithms using the similar operators; crossover, mutation and selection. In this work, DE algorithm has been applied to the design of digital Finite Impulse Response filters and compared its performance to that of genetic algorithm.

A joint adaptive wavelet filter and morphological signal processing method for weak mechanical impulse extraction

“…In order to solve the problems of GA for global optimization, Differential Evolution (DE) was proposed by Stron and Price [18,20]. Many studies have confirmed that DE is a more powerful optimization algorithm than GA, both in computation efficiency and accuracy [15,19,20,28]. Therefore, DE is employed in this paper to solve the optimization problem shown in Eq.…”

A study on scale factor in distributed differential evolution

“…In Mezura-Montes et al [31] and Zhang et al [78], DE variants for constrained optimiziation are proposed and analyzed. In Storn [60], Karaboga and Cetinkaya [18,19] a filter design is carried out by DE. In Onwubolu [43], DE is hybridized with group method of data handling for tool wear modelling and tine series prediction.…”

Robust impaired speech segmentation using neural network mixture model

“…One of the first application domains for DE has been signal processing and more specifically the design of a digital filter, see [5]. Many other studies have shown the efficiency of this algorithmic structure in handling these problems, as shown in [6], [7], and [8]. A comparative study focussing on the capability of DE schemes of handling non-standard filter design problems has been presented in [9].…”