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...

Full description

Bibliographic Details

Published in:	2009 Fifth International Conference on Natural Computation Vol. 3; pp. 246 - 250
Main Author:	Yufeng Li
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2009
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!