[关键词]
[摘要]
由于多个种群可以更好地对应实际问题中性质差异较大的不同对象,因此基于多个种群同时进化的协同进化遗传算法更适用于解决复杂的实际优化问题。针对滨湖河网地区河道交织、水源众多、供水关系复杂、水资源优化配置难度较大的问题,将协同进化遗传算法引入滨湖河网地区水资源优化配置研究,结合需水缩减系数,建立了水资源优化配置模型,并对毗邻洪泽湖的泗洪县进行了水资源优化配置,模拟结果合理,证明基于协同进化遗传算法的适用性好,可实现研究区水资源高效利用。
[Key word]
[Abstract]
Coevolutionary genetic algorithm is a kind of GA based on multi-population’s concurrent evolution, which is more suitable for solving the complex optimization problems because multi-population can better correspond to objects of different nature. Lakefront river network region has the patterns of interlaced streams, multiple water sources, and complex water supply relationship, which brings more difficulties to the optimal water resources allocation. An optimal water resources allocation model was established base on the coevolutionary genetic algorithm combined with water demand coefficients to allocate water resources in Sihong County near the Hongze Lake. The results showed that the multi-population pattern of coevolutionary genetic algorithm can handle the difficulties in the optimal water resources allocation of lakefront river network region. The results were reasonable, indicating good applicability of coevolutionary genetic algorithm and therefore realizing the highly efficient utilization of water resources.
[中图分类号]
[基金项目]
江苏省水利科技项目“临洪水利枢纽闸泵系统联合调度研究”(2011550812)