本文讨论双极型晶体管（ＢＪＴ）器件模型参数提取的最优化方法，提出了一种解决全局最优的组合算法，与通常的Ｇａｕｓｓ－Ｎｅｗｔｏｎ法相比，其突出的优点是：在计算过程中只需计算目标函数值，不必计算目标函数的梯度，所获得的解的全局最优性也较好．本文所提出的方法在全局搜索的基础上还同时解决了初值选择与迭代策略，是一种简便、高效的全局优化算法． In this paper, we discuss the optimization method of BJT device model parameters extraction and propose a combinatorial algorithm to solve the global optimum. Compared with the usual Gauss-Newton method, the outstanding advantage is that in the process of calculation Need to calculate the value of the objective function, without having to calculate the gradient of the objective function, the global optimality of the solution obtained is also better. The method proposed in this paper also solves the initial value selection and iteration strategy based on global search, which is a simple and efficient global optimization algorithm.