人工鱼群算法在湖泊富营养化综合评价中的应用

Application of artificial fish swarm algorithm to assessment of lake eutrophication

提出了一种对多项指标都能普遍适用的湖泊水质富营养化评价的逻辑斯谛模型,将人工鱼群算法应用于逻辑斯谛曲线模型中的参数优化,并用优化后的逻辑斯谛曲线模型对湖泊富营养进行综合评价。对我国5个湖泊富营养化实测数据进行评价实例研究,并与其他多种评价方法进行比较,结果表明该模型具有实用性和可行性。

A logistic model for multiple indices in water eutrophication evaluation of lakes was proposed. The artificial fish swarm algorithm was applied to optimizing the parameter of the logistic curve model. Comparing with the assessment results of eutrophic states of five major lakes in China by other methods, the results of optimized logistic curve model indicate the practicabihty and feasibihty of the present model.