Studying of nonlinear genetic algorithm

Through mechanism analysis of simple GA (SGA), every genetic operator of SGA is found be equal to linear transformation of chosen individual. So the linear transformation is changed for the improvement of the algorithm capability. As a result, a new genetic algorithm-nonlinear GA (NGA) is conducted. The optimization computing of some examples is made to show that the new genetic algorithm has better global search capacity and rapid convergence rate.