自然资源学报 ›› 2007, Vol. 22 ›› Issue (6): 980-985.doi: 10.11849/zrzyxb.2007.06.015

• 研究方法 • 上一篇    下一篇

改进型量子遗传算法应用于区域水资源可持续利用评价

赵晓莉1, 李祚泳1,2, 丁晶2   

  1. 1. 成都信息工程学院, 成都 610041;
    2. 四川大学水电学院, 成都 610065
  • 收稿日期:2007-01-04 修回日期:2007-08-03 出版日期:2007-12-25 发布日期:2007-12-25
  • 作者简介:赵晓莉(1981-),女,山西五台县人,硕士,主要研究环境系统分析。
  • 基金资助:

    973国家重大基础研究项目(2002CB412301)

Application of Improved Quantum Genetic Algorithm to the Evaluation of Sustainable Utilization of Regional Water Resources

ZHAO Xiao-li1, LI Zuo-yong1,2, DING Jing2   

  1. 1. Chengdu University of Information Technology, Chengdu 610041, China;
    2. School of Hydraulic Engineering, Sichuan University, Chengdu 610065, China
  • Received:2007-01-04 Revised:2007-08-03 Online:2007-12-25 Published:2007-12-25

摘要: 提出了一种对多项指标都能普遍适用的区域水资源可持续利用评价模型,将实数编码混沌量子遗传算法应用于区域水资源可持续利用评价模型中参数的优化,并用优化好的模型对区域水资源可持续利用做出评价。通过对中国12个区域实测数据的评价实例研究及与其它评价方法得到的结果进行对比,表明该模型具有实用性和可行性。

关键词: 实数编码量子遗传算法, 区域水资源, 可持续利用, 水资源评价

Abstract: An index model which is suitable for multi-parameter was proposed for evaluating sustainable utilization of regional water resources.The model can be optimized by the real-coded chaotic quantum-inspired genetic algorithm(RCQGA),and we used the model which has been optimized to evaluate sustainable utilization of regional water resources.Through study and comparison with other evaluation methods for the cases of 12 regions in China,the results showed the practicability and the feasibility of this model.

Key words: real-coded chaotic quantum-inspired genetic algorithm, regional water resources, sustainable utilization, water resources evaluation

中图分类号: 

  • P964