A Hybrid Genetic Algorithm for Global Solution of Indifferentiable Nonlinear Function
一种求解不可微非线性函数的全局解的混合遗传算法

In this paper,through a promoted Fletcher Reeves operator embedded into the genetic algorithm, the method that combines the advantages of the genetic algorithm and the Fletcher Reeves which need not the optimal problem function's differential and promote the ability of the genetic algorithm's locally meticulous search can be got with the faster convergence and the greater probability for the global solution. The numerical computing results show that it is distinctly superior to the two algorithm above.