Projection pursuit model (PP) is widely used in many fields, especially quality evaluation. One of the biggest shortages of PP was that the projection direction is strongly influenced by relevant parameters. In order to solve this problem, many experts and scholars introduced all kinds of parameters optimization method in PP. Based on the basis of previous studies, the article proposed a new model of projection pursuit grade evaluation model (PPE) integrated with simulated annealing ant colony optimization algorithm (SA-ACO). It provided a new thought and method for quality evaluation research. The case example demonstrated that the accuracy and the effect evaluation of the model was effectively and more objectively and practical in the evaluation of quality.
This paper introduces the method of Projection Pursuit the idea, principle, modeling steps and application of the model in water quality evaluation of Dehuixin river. Use the Real-code Accelerating Genetic Algorithm to optimize the problem and then comparing the result with other results of Pollution Index Method and Fuzzy Evaluation Method. It shows that the method of Projection Pursuit can better evaluate the water quality, its result has higher objectivity and authenticity through the calculation, analysis and comparation.
A Projection Pursuit Model Optimized by Free Search: For the Regional Power Quality Evaluation
