Analog active filter design using a multi objective genetic algorithm
Author:
Funder
Portuguese Foundation for Science and Technology
Agência Regional para o Desenvolvimento e Tecnologia
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering
Reference43 articles.
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2. George NV, Panda G. Development of low complexity evolutionary computing based nonlinear active noise control systems. In: 2011 Int conf energy autom signal, Bhubaneswar, Odisha; 2011. p. 1–4. http://doi.org/10.1109/ICEAS.2011.6147140.
3. Vural RA, Yildirim T. State variable filter design using particle swarm optimization. In: 2010 XIth int work symb numer methods model appl to circuit des., Gammath; 2010. p. 1–4. http://doi.org/10.1109/SM2ACD.2010.5672302.
4. Particle swarm optimization based active noise control algorithm without secondary path identification;Rout;IEEE Trans Instrum Meas,2012
5. Performance evaluation of evolutionary algorithms for optimal filter design;Vural;IEEE Trans Evol Comput,2012
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