一种改进的进化规划算法及其收敛性  

AN IMPROVED EVOLUTIONARY PROGRAMMING ALGORITHM AND ITS CONVERGENCE ANALYSIS

作　　者：郭崇慧[1] 唐焕文[1] 

机构地区：[1]大连理工大学应用数学系,大连116024

出　　处：《高等学校计算数学学报》2002年第1期51-56,共6页Numerical Mathematics A Journal of Chinese Universities

基　　金：国家自然科学基金资助项目 ( 1 0 0 71 0 1 0 )

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.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.

关 键 词：进化规划算法 收敛性 随机搜索算法 连续函数 全局优化问题 

分 类 号：O224[理学—运筹学与控制论]