【摘要】 研究遗传算法在双相介质材料参数反演中的作用 .将一维双相介质在动载荷下的表面位移响应的计算值与实测值进行拟合 ,以最小方差作为目标函数 ,把双相介质参数反演问题归结为非线性多峰函数的最优化问题 .全局最优解的求解采用多点并行搜索的遗传算法 ,克服了传统梯度爬山法难于求得全局最优的困难 .算例表明了遗传算法的可行性和稳健性 .更多还原

【Abstract】 Genetic algorithms is used to solve the inverse problem of material constants of porous media from surface dynamic response. By building least-square objection function between response computed and measured, the inverse problem of material constants of porous media is reduced to optimal problem of non-linear multi-mode function. In order to overcome the difficulties met by classical gradient-orient optimal method, the genetic algorithms is used to search the global optimal point. Numerical results in the example given confirm the validity and robust of genetic algorithms.更多还原