基于人工鱼群算法的水资源可持续供给能力评价方法探讨

Study on the Evaluation Method of Sustainable Water Supply Capacity based on Artificial Fish Swarm Algorithm

人工鱼群算法是一种具有自适应能力和并行性较强、对初始值和目标函数性质及参数选择要求不高、可实现全局寻优等优点的随机搜索优化方法,适宜应用于方案优化、综合评价等问题的研究。本文应用人工鱼群算法,建立水资源可持续供给能力评价模型,运用MATLAB软件编程实现算法,并应用该模型进行了扬州市水资源可持续供给能力评价。案例研究结果表明,基于人工鱼群算法的评价模型优化程度较高,适宜于水资源可持续供给能力评价。

The artificial fish swarm algorithm is a method of random search optimization. it has many advantages, such as stronger Adaptive ability and parallelism, Lower requirements to initial value, nature of objective function and Parameter selection etc. It is suitable for the research of optimization problem, com-prehensive evaluation etc. In this paper, the evaluation model of sustainable water supply capacity is established by using artificial fish swarm algorithm, the algorithm is realized by programming using the MATLAB Software, and the model is applied to the evaluation of sustainable water supply capacity in Yangzhou city. The results of case study show that, it is higher that the optimal degree of the evaluation model established by using artificial fish swarm algorithm, and the model is suitable for for evaluation of sustainable water supply capacity.