遗传算法在区域水污染控制系统规划中应用

Application of genetic algorithm in the planning of regional water pollution control system

针对传统最优化方法求解区域水污染控制系统的非线性规划问题难度较大,以及很难保证得到全局最优解的问题,给出一种求解非线性水污染控制系统规划的遗传算法(GA),由于GA方法具有全局搜索能力,从而快速获得最优解。实验证明GA方法在通用性、有效性及可靠性方面均具有一定的优越性,为区域最优化模型提供了一种新方法。

Those normal optimization solutions are not only difficult to solve the non-linear planning of regional water pollution control system,but also difficult to obtain the global optimal solution,so the genetic algorithm (GA)used in the optimal planning of regional water pollution control system is given.The overall searching for the ability of genetic algorithm can be fully used to obtain the optimal solution.The experiment has proved that the genetic algorithm has many advantages in common use and give more effective and reliable results,whereby suggesting a new method for the regional optimal planning model.