求解一类随机优化问题的粒子群算法

求解一类随机优化问题的粒子群算法 Particle Swarm Algorithm for Solving a Class of Stochastic Optimization Problems 雍龙泉 YONG Long-quan~1 1 first-author 张建科 ZHANG Jian-ke~2 2 张晓清 ZHANG Xiao-qing~3 3 陕西理工学院数学与计算机科学系 陕西理工学院数学与计算机科学系 Department of Mathematics and Computer Science,Shaanxi University of Technology Department of Mathematics and Computer Science,Shaanxi University of Technology 西安电子科技大学理学院 西安电子科技大学理学院 School of Science,Xidian University School of Science,Xidian University 西安电子科技大学软件学院 西安电子科技大学软件学院 School of Software,Xidian University School of Software,Xidian University 提出了一个解随机优化问题的粒子群算法.该算法易理解,程序上易实现,克服了随机优化问题难以高效实现全局优化的缺点.数值实验结果表明,所提出的算法能够快速地收敛到随机优化问题的最优解,并且具有良好的鲁棒性,是此类问题的一个高效求解算法. A particle swarm algorithm to solve a class of stochastic optimization problem is proposed.the algorithm,which is easy to understand and operate in program,overcomes the short-coming that stochastic optimization problem can’t find global optimal solution efficiently.The numerical experiment results demonstrate that the proposed algorithm can rapidly converge to the optimal solution and is an efficient method because of it’s good robustness. 随机优化 粒子群算法 均匀分布 stochastic optimization problems particle swarm algorithm uniform distribution TP18 国家自然科学基金（69972036）;教育部跨世纪优秀人才基金资助项目 2005-01-01 2021-04-01 S2