一种四面体网格的混沌混合优化方法

摘要

研究了基于优化算法的网格修匀技术,指出常规的基于梯度的优化算法,如BFGS等,收敛速度很快,但受初始值影响大,不能保证得到全局的最优解,为了避免陷入局部优化,采用了一种混沌搜索和BFGS相结合的混合算法来求解模型,通过算例验证,这样的求解策略稳定性好,能够用于解决实际优化问题.%The author studies the mesh grid smoothing technology based on optimization algorithm, points out that the common optimization algorithm based on gradient, such as BFGS ere, has quick convergence rate, but is influenced by initial value greatly, can not ensure the over-all most optimal value. In order to avoid falling into partial optimization, the author adopts a mixed algorithm combining chaos research with BFGS to solve modal, based on example testing, results show that the solving scheme has good stability and can utilize in solving practical opti-mization problem.