2012
DOI: 10.1109/tim.2011.2169180
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Particle Swarm Optimization Based Active Noise Control Algorithm Without Secondary Path Identification

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Cited by 58 publications
(40 citation statements)
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“…the three alignment parameters and the deblurring filter). These optimization methods were tested, as they are usually applied to solve difficult optimization problems and have been used on solving many instrument design problems [1,6,18,26,31,48]. Based on these comparisons, the effective of the proposed Taguchi method can be further evaluated.…”
Section: Comparison With Commonly-used Optimization Methodsmentioning
confidence: 99%
“…the three alignment parameters and the deblurring filter). These optimization methods were tested, as they are usually applied to solve difficult optimization problems and have been used on solving many instrument design problems [1,6,18,26,31,48]. Based on these comparisons, the effective of the proposed Taguchi method can be further evaluated.…”
Section: Comparison With Commonly-used Optimization Methodsmentioning
confidence: 99%
“…Utilizing reduction of mean-square inaccuracy, the weights are adjusted utilizing GA [12], which utilizes an arrangement of www.ijacsa.thesai.org reproduction, crossover, and mutation processes. An ANC conspire in light of a versatile GA has likewise been as of late recommended that fuses versatile possibility for crossover and mutation, and executed in a constant purpose [13]. PSO rose as an appropriate substitution for GA, inferable from its speedier meeting.…”
Section: Related Workmentioning
confidence: 99%
“…Particle Swarm Optimization (PSO) is relatively new modern and powerful method of optimization. It is widely used for the Global optimization solution [11].…”
Section: Particle Swarm Optimization Algorithm: -mentioning
confidence: 99%