Coefficient estimation of IIR filter by a multiple crossover genetic algorithm

DOI10.1016/j.camwa.2006.01.003zbMath1248.93158OpenAlexW1993309812MaRDI QIDQ2475913

Wei-Der Chang

Publication date: 11 March 2008

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2006.01.003

zbMATH Keywords

optimizationreal-coded genetic algorithmIIR filterscoefficients estimationmultiple crossover

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Estimation and detection in stochastic control theory (93E10)

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Cites Work

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• Genetic algorithms applied to the adaptation of IIR filters
• Neuro-fuzzy and genetic algorithm in multiple response optimization.
• Complex genetic algorithm approach for designing equiripple complex FIR digital filters with weighting function.
• Genetic neural networks to approximate feedback Nash equilibria in dynamic games
• Fuzzy multilevel programming with a hybrid intelligent algorithm
• System identification and control using genetic algorithms
• A global estimation for multichannel time-delay and signal parameters via genetic algorithm.
• Design of truss structures for minimum weight using genetic algorithms
• Search space boundary extension method in real-coded genetic algorithms

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