An efficient evolutionary programming algorithm

A novel evolutionary programming algorithm, which not only has a rapid convergence rate but also maintains the diversity of the population so as to escape from local optima, is proposed in this paper. In addition, a multi-modal test function is presented and is used to indicate the efficiency of this algorithm. Several application examples are given to show its usefulness.