Title: Projection pursuit cluster model based on genetic algorithm and its application in Karstic water pollution evaluation

Authors: Shunjiu Wang, Xinli Zhang, Zhifeng Yang, Jing Ding, Zhenyao Shen

Addresses: School of Environment, Beijing Normal University, Beijing 100875, PR China. ' Business School, Sichuan University, Chengdu 610064, PR China. ' School of Environment, Beijing Normal University, Beijing 100875, PR China. ' College of Hydropower Engineering, Sichuan University, Chengdu 610065, P R China. ' School of Environment, Beijing Normal University, Beijing 100875, PR China

Abstract: A projection pursuit cluster model is used to resolve the problem of Karstic water pollution evaluation. First, the projection pursuit cluster model is stated. Then, a genetic algorithm is applied to optimise the projection direction of the projection pursuit cluster model, and the steps of the genetic algorithm are introduced in detail. Finally, a case study of Karstic water pollution evaluation is presented. The projection pursuit cluster model is a powerful tool in analysing complex multifactor problems, and it is also a new method for Karstic water pollution evaluation.

Keywords: projection pursuit; cluster models; genetic algorithms; evaluation; Karstic water pollution; envionmental pollution; water quality.

DOI: 10.1504/IJEP.2006.011210

International Journal of Environment and Pollution, 2006 Vol.28 No.3/4, pp.253 - 260

Published online: 06 Nov 2006 *

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