一种改进的进化规划算法及其收敛性

摘要

In this paper, an improved evolutionary programming algorithm for real valued function global optimization is proposed. Two convergence theorems, which show that the improved evolutionary programming algorithm asymptotically converges to global optimal solutions with probability one under suitable conditions, are given. Numerical results illustrate that this algorithm is efficient.