This paper presents some combinatorial algorithms for global optimization problems
which can be applied to solve model parameter extraction in bipolar junction transistors(BJT). The main advantage of combinatorial algorithms to a traditional algorithm like Gauss-Newton method lies in that it needs no computation of the gradient of the objective function. Moreover
the global optimality of this approach is also better than GaussNewton method. As the selection of the initial point and iterative straegies proposed in this paper are based on global search