摘要
给出了利用遗传算法求解二维定常对流一扩散方程参数反演的一种新方法,该方法把参数反演问题转化为优化问题求解。特别从多个初始点开始寻优,并借助交叉和变异算子来获得参数的全局最优解。数值模拟结果表明,该方法具有精度高且编程简单、易于计算机实现等特点。
A new approach based on genetic algorithms to two-dimensional steady inverse problem of convection-diffusion equation is introduced, and it transforms the source identification into solution of optimization problem using genetic algorithm. By using genetic algorithm, the method can search the best solution from many initial points and obtains the total optimum solution by means of crossover and mutation operator. The results of numerical simulation show that the method has a higher accuracy and a quicker convergent speed. And it is easy to program and calculatehlt is worth of practical application.
出处
《河北理工大学学报（自然科学版）》
CAS
2008年第2期84-86,91,共4页
Journal of Hebei Polytechnic University:Social Science Edition
基金
河北理工大学科学研究基金(Z200718)
关键词
对流-扩散方程
反问题
遗传算法
convection-diffusion equation
inverse problem
genetic algorithms
