加速遗传算法的一维投影寻踪模型及其在市政工程中的应用

For the municipal engineering is a complicated and huge system, it is difficult to optimize, model, predict, imitate, evaluate, make policy and analyze in the municipal engineering by the traditional methods. Gaining the corresponding shortcomings, this thesis aims at trying to perform the optimization, evaluation and prediction in municipal engineering by Projection pursuit models based on Accelerating Genetic Algorithm. On the foundation of theoretical study of empirical value of window radius, this thesis modifies one-dimensional clustering modeling. This model that stated above is applied to the practical cases of municipal engineering, and reasonable and effective results, which show the feasibility and reliability of the model, is obtained. It is concluded that the model stated above can be applied to municipal engineering generally.