CAJ | 학술논문

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。
유우다개충군가이경호지대응실제문제중성질차이교대적불동대상，인차기우다개충군동시진화적협동진화유전산법경괄용우해결복잡적실제우화문제。침대빈호하망지구하도교직、수원음다、공수관계복잡、수자원우화배치난도교대적문제，장협동진화유전산법인입빈호하망지구수자원우화배치연구，결합수수축감계수，건립료수자원우화배치모형，병대비린홍택호적사홍현진행료수자원우화배치，모의결과합리，증명기우협동진화유전산법적괄용성호，가실현연구구수자원고효이용。
Coevolutionary genetic algorithm is a kind of GA based on multi-population’s concurrent evolution ,which is more suit-able for solving the complex optimization problems because multi-population can better correspond to objects of different na-ture .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 mod-el was established base on the coevolutionary genetic algorithm combined with water demand coefficients to allocate water re-sources 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 .