水资源优化配置模型参数识别的遗传算法

Genetic algorithm for identifying a model's parameters of water resources optimal allocation

将水资源优化配置问题模拟为生物进化问题 ,通过判断每一代个体的优化程度来进行优胜劣汰 ,从而产生新一代 ,如此反复迭代来完成水资源优化配置 .实践和研究表明 ,这种新的水资源优化计算方法遗传算法是有效可行的 。

A genetic algorithm(GA) is presented for optimizing water resources allocation. This method simulates problems of water resources allocation with the creature evolution. By analyzing the fitness of individuals, this method can remove the less fit individuals and copy the most fit ones to generate next generation. Practice and research show that it is feasible and has broad use for treating all sorts of problems of complicated nonlinear optimization.