Potential of Particle Swarm Optimization and Genetic Algorithms for FIR Filter Design
نویسندگان
چکیده
منابع مشابه
Potential of Particle Swarm Optimization and Genetic Algorithms for FIR Filter Design
This article studies the performance of two metaheuristics, Particle Swarm Optimization (PSO) and Genetic Algorithms (GA), for FIR filter design. The two approaches aim to find a solution to a given objective function but employ different strategies and computational effort to do so. PSO is a more recent heuristic search method than GA; its dynamics exploit the collaborative behavior of biologi...
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This paper presents an optimal design of linear phase digital low pass finite impulse response (FIR) filter using Novel Particle Swarm Optimization (NPSO). NPSO is an improved particle swarm optimization (PSO) that proposes a new definition for the velocity vector and swarm updating and hence the solution quality is improved. The inertia weight has been modified in the PSO to enhance its search...
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ژورنال
عنوان ژورنال: Circuits, Systems, and Signal Processing
سال: 2014
ISSN: 0278-081X,1531-5878
DOI: 10.1007/s00034-014-9800-y