摘要
探讨了用评价标准信息和大样本数据驱动的最佳逼近模型(OAM)评价水资源开发利用程度的新途径,提出了一套基于格雷码加速遗传算法的OAM建模方案.作为示例,对西安市水资源开发利用程度进行了综合评价.结果表明,OAM建模方法直观、精度高,即具有较强的分类功能,又具有较好的排序功能,评价结果可靠,可广泛应用于各种水资源问题的综合评价.
It is difficult to establish the mathematics model and to control the precision of the assessment models in the complex system of water resources utilization with multi-index. In order to solve the incompatible indexes problem and to raise the model precision of water resources utilization assessment, a new model, optimal approximation model (OAM), is presented for water resources utilization assessment based on the assessment standards, 3000 samples driving, three typical points in each assessment grade and gray code accelerating genetic algorithms. And its detailed step is given. As an example, water resources utilization is assessed by OAM in Xi'an. The result shows that OAM has the features of visual, effective and high precision. And OAM has the functions of classifying and arrangement. It is a good assessment model for various water resources comprehensive assessments.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2004年第6期120-125,共6页
Systems Engineering-Theory & Practice
基金
国家重点基础研究发展规划(G1999043605)
关键词
水资源开发利用程度
综合评价
最佳逼近模型
遗传算法
精度
water resources utilization
comprehensive assessment
optimal approximation model
genetic algorithm
precision
