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Atmospheric environment quality assessment based on improved immune algorithm

Author(s): Yongqin Tao

Atmospheric quality assessment is an important research subject. In order to control the air pollution and to attract more and more attention for the air quality. This paper has proposed an improved immune clone algorithm and applied to atmospheric quality evaluation. The method constructs the function of atmosphere quality evaluation and optimizes the parameters of the evaluation functions. It can ensure the population diversity and improve the algorithm convergence. 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.

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