The designs of salient pole generators may differ considerably from one hydroelectric plant to another and it is complex and need to experiment to design of hydro-generator Automatic optimization procedure is highly desirable, because the designer may have little experience with a similar machine. The presented study; design space have been constituted nonlinear mixed variables which have the largest influence on the goal function at transient and dynamic analysis conditions. The optimization process is based on successive linearization of the goal function and the nonlinear mixed variables followed by a sequential procedure. The process is highly effective because the goal function is consist of nonlinear mixed variable, for this reason the optimum value is always on the boundary of the feasibility region. The procedure has been tested on a number of earlier designs. The goal function results could have been improved by using SMINLP and results are idealized better than QS, PS and SNLP between about % 3-%15 percent.