Dynamic Particle Swarm Optimization Algorithm for Resolution of Overlapping Chromatograms

Dynamic particle swarm optimization algorithm is proposed in this paper to resolve overlapping chromatographic peaks. To accelerate the convergence speed, clustering degree and evolution velocity are considered simultaneously to adjust inertia weight adaptively. The algorithm is tested on both simul...

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Vydané v:	2009 Fifth International Conference on Natural Computation Ročník 3; s. 246 - 250
Hlavný autor:	Yufeng Li
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2009
Predmet:	Acceleration Clustering algorithms Convergence Convolution Curve fitting Dynamic Educational institutions Gaussian distribution Iterative algorithms Overlapping Chromatograms Particle swarm optimization Resolution Testing
ISBN:	0769537367, 9780769537368
ISSN:	2157-9555
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