文档介绍：
基于混合遗传算法的红兴隆分局水资源优
化配置#
刘姣1,2,3,刘东1,2,3**
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(1. 东北农业大学水利与建筑学院,哈尔滨 150030;
2. 黑龙江省普通高校节水农业重点实验室,哈尔滨 150030;
3. 农业部农业水资源高效利用重点实验室,哈尔滨 150030)
摘要:针对区域水资源开发利用模式不合理、传统优化算法运行效率不高问题,以红兴隆分
局为例,对其水资源优化配置模型进行研究。基于大系统分解协调理论,以经济、社会、环
境综合效益最大,考虑可供水量、用户需水量、水质为约束,构建了基于混合遗传算法的大
系统多目标红兴隆分局规划年(2015,2020)水资源优化配置模型。结果表明:农业用水是
导致红兴隆分局水资源短缺的主要原因,应充分利用过境水,减少对当地地下水、地表水的
开采,经过合理的优化配置,使得规划年缺水状况得到改善。另外,混合遗传算法克服了传
统算法的不足,在运行速度上有大幅度的提升。
关键词:水资源;优化配置;混合遗传算法;红兴隆分局
中图分类号:
Multi-objective optimization of Hongxinglong branch
bureau water resources based on mixed ic algorithm
LIU Jiao1,2,3, LIU Dong1,2,3
(1. School of Conservancy & Civil Engineering, Northeast Agricultural University,
Harbin 150030;
2. Key laboratory of water-saving agriculture of ordinary university in Heilongjiang Province,
Harbin 150030;
3. Key laboratory of effective utilization of agricultural water resources of Agriculture Ministry,
Harbin 150030)
Abstract: Aiming at the uneven distribution of Hongxinglong branch bureau water resources and
the problems about low efficiency of the tradition optimization algorithm, the authors did research
on the water resource optimization model. By using the large system position coordination
theory, the paper established the multi-objective optimization of Hongxinglong branch bureau
water resources based on mixed ic algorithm in different