基于免疫进化算法的逻辑斯谛曲线水环境质量综合评价模型

在对现有水环境质量评价方法进行分析的基础上,提出用一种新型的优化算法———免疫进化算法应用于非线形的水环境质量综合评价模型,即逻辑斯谛曲线的参数优化问题,其结果优于目前广泛应用的遗传算法,从而建立了一种新的数学模型。实例研究表明,该算法易于操作、快速收敛于全局最优解,可用于解决复杂的优化问题,具有较为广阔的应用前景。

Immune Evolutionary Algorithm and Its Application to Quality Assessment of Water Environment

Based on analysing existing water environment quality assessment model and optimization technology, a new optimization technology called Immune Evolutionary Algorithm(IEA) is applied to optimize the parameters for nonlinear water environment quality integrated assessment model. According to element of least square method, a new optimization model is set up. IEA is simply operated because it only has two dynamic adjustable parameters, An example is shown that IEA has a much better result than Accelerating Genetic Algorithm(AGA)which is ameliorated by Genetic Algorithm and applied extensively. Comparing IEA with existing optimiztion method, there are two conclusions, one is that the solution is not jumpiness during the process of envolution, it incarnates a integrated characteristic of descendiblity and aberrance, an other is that it is more effective at the latter period. Therefor, this technology is good and new algorithm, which also can be used in many other fields.