基于粒子群优化算法的农田多目标控制排水模型

该文研究内容包括2个方面： 1）针对南方丘陵地区地表排水方式，通过田间排水试验，探求控制排水中氮、磷浓度的变化规律，拟合了累计入渗量Philip公式的参数，建立了排涝、除渍和减少氮、磷流失的多目标控制排水模型。2）在分析多目标优化问题Pareto最优解的基础上，运用MATLAB编制计算程序，针对控制排水模型的具体特点，分别定义了粒子的适应值、个体极值和全局极值的计算公式，利用粒子群优化算法对模型进行了求解。结果表明，运用基于粒子群的多目标优化算法求解农田多目标控制排水模型，所求得的控制排水时间与实际控制排水时间基本一致，为农田排水的科学管理提供参考。

Multi-objective controlled drainage model based on particle swarm optimized algorithm

This paper includes two research contents: 1) Considering the characteristics of drainage fashion in hilly region of South China, a field experiment was conducted to search for the regularity of the concentrations of nitrogen and phosphorus in surface runoff with controlled drainage. The function of total infiltration with time was fit by Philip formula. A multi-objective controlled drainage model was established for storm drainage and reducing nitrogen and phosphorus loss. 2) Based on the Pareto optimal solutions, multi-objective optimization problems were solved by using particle swarm optimizer arithmetic and computer program compiled by MATLAB. Aimed at the characteristics of multi-objective controlled drainage model, the particles fitness, individual extremum and group extremum were defined. The results showed that the computational and observed drainage time were identical, which offered references for farmland drainage management.