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对流-扩散方程源项识别反问题的遗传算法
引用本文:闵涛,周孝德,张世梅,冯民权. 对流-扩散方程源项识别反问题的遗传算法[J]. 水动力学研究与进展(A辑), 2004, 19(4): 520-524
作者姓名:闵涛  周孝德  张世梅  冯民权
作者单位:西安理工大学,陕西西安,710048;山西省水利科学研究所,山西太原,030002
基金项目:国家自然科学基金(50079022),陕西省自然科学基金(2001D01)(2002A10)
摘    要:给出了利用遗传算法求解对流一扩散方程源项识别反问题的一种新方法。该方法把源项反问题转化为优化问题,用遗传算法求解。它的特点在于:从多个初始点开始寻优.并借助交叉,变异算子来获得全局最优解。实例模拟结果表明,该方法具有精度高,收敛速度快且易于计算机实现等特点。

关 键 词:对流-扩散  源项  反问题  遗传算法
文章编号:1000-4874(2004)04-0520-05

Genetic algorithm to an inverse problem of source term identification for convection-diffusion equation
MIN Tao. Genetic algorithm to an inverse problem of source term identification for convection-diffusion equation[J]. Chinese Journal of Hydrodynamics, 2004, 19(4): 520-524
Authors:MIN Tao
Abstract:A new approach based on genetic algorithm for source identification of convection-diffusion equation is proposed. It transforms the source identification problem into the solution of an optimization problem using genetic algorithm. By using genetic algorithm the method can search the best solution from many initial points and obtain the global optimum solution by means of crossover and mutation operator. The results of numerical simulation show that the method has high accuracy and quicker convergent speed than existing method and is easy to program and calculate.
Keywords:convection-diffusion  source term  inverse problem  genetic algorithm
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