Hybrid optimizer based on genetic algorithms and conjugate gradient
C.D. Bregon, E.F. del Rio · 2003
This communication presents a commercial software application for solving optimization problems. The program implements a hybrid optimizer based on genetic algorithms and the gradient method. The application has been developed for RYMSA Co., where it is been used for the optimization of several electromagnetic problems. It is important to point out that this software has a broader range of application, in the sense that it can be used for solving any kind of parametric optimization problem.