Title :
An Immune Algorithm-Based Atmospheric Quality Assessment Model and Its Applications
Author :
Wang, Limin ; Han, Xuming ; Li, Ming ; Chen, Guojun ; Zhang, Chijun ; Zhang, Huimin
Author_Institution :
Dept. of Inf., Changchun Taxation Coll., Changchun
Abstract :
Atmospheric quality assessment is an important research subject, focusing on the evaluation of the quality of atmospheric environment, a model based on the immune algorithm (IM) is proposed in this paper. The model has the characters of pellucid principle and physical explication. Moreover, the simplification is the important advantage of the method. Experimental results show that the proposed model is effective and feasible for assessing atmospheric quality. It could provide a new reference basis and approach in the field of environment. Therefore it has great potential in the field of assessment the atmospheric quality.
Keywords :
air pollution control; artificial immune systems; atmospheric quality assessment model; immune algorithm; pellucid principle; Air pollution; Artificial immune systems; Atmospheric modeling; Computer science; Educational institutions; Environmentally friendly manufacturing techniques; Immune system; Industrial pollution; Quality assessment; Software algorithms; Atmospheric Quality Assessment; Immune Algorithm; harm rate of atmospheric pollution; universal formula;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1557