首页> 外文会议>2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)论文集 >GENETIC ALGORITHM RESEACH AND APPLICATION IN PARAMETER IDENTIFICATION INVERSE PROBLEM
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GENETIC ALGORITHM RESEACH AND APPLICATION IN PARAMETER IDENTIFICATION INVERSE PROBLEM

机译:遗传算法在参数识别反问题中的研究与应用

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The parameter identification inverse problem is a kind of important practical problem in many science fields. The two-dimensional convection-diffusion equation was introduced in this paper and we try to solve its parameter identification inverse problem by the genetic algorithm. The finite element method was illustrated to solve the steady problem of two-dimensional convection-diffusion equation before we compute parameter identification inverse problem each time. By using genetic algorithm, we can search the best approximate solution from many initial points and obtained the global optimum solution by means of crossover operator and mutation operator. The results of numerical simulation shows that the genetic algorithm have the higher accuracy and the quicker convergent speed. And it is easy to program and calculate and of great applicable in practice.
机译:参数识别逆问题是许多科学领域中的一种重要的实际问题。介绍了二维对流扩散方程,并尝试用遗传算法解决其参数辨识逆问题。为了解决二维对流扩散方程的稳态问题,在每次计算参数识别反问题之前,都采用了有限元方法。通过使用遗传算法,我们可以从多个初始点搜索最佳近似解,并通过交叉算子和变异算子获得全局最优解。数值仿真结果表明,该遗传算法具有较高的精度和更快的收敛速度。而且它易于编程和计算,并且在实践中具有很大的适用性。

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