Genetic algorithms applied to the adaptation of IIR filters
Signal Processing
Design of truss-structures for minimum weight using genetic algorithms
Finite Elements in Analysis and Design
Search space boundary extension method in real-coded genetic algorithms
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on evolutionary algorithms
Fundamentals of Digital Signal Processing with Cdrom
Fundamentals of Digital Signal Processing with Cdrom
Fuzzy multilevel programming with a hybrid intelligent algorithm
Computers & Mathematics with Applications
A one-parameter filled function method applied to nonsmooth constrained global optimization
Computers & Mathematics with Applications
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This paper proposes an improved genetic algorithm (GA) with multiple crossovers to estimate the system coefficients for the infinite impulse response (IIR) digital filter. In the traditional crossover operation, it needs two parent chromosomes to achieve the crossover work, whereas in this paper the proposed algorithm selects three chromosomes for crossover in order to generate more promising offspring toward the problem solution. Each of unknown IIR coefficients is called a gene and the collection of genes forms a chromosome. A population of chromosomes is evolved by the genetic operations of reproduction, multiple crossover, and mutation. Finally, two illustrative examples including the band pass and band stop IIR filters are demonstrated to verify the proposed method.