摘要
系统地介绍了粒子群优化算法,归纳了其发展过程中的各种改进如惯性权重、收敛因子、跟踪并优化动态目标等模型。阐述了算法在目标函数优化、神经网络训练、模糊控制系统等基本领域的应用并给出其在工程领域的应用进展,最后,对粒子群优化算法的研究和应用进行了总结和展望,指出其在计算机辅助工艺规划领域的应用前景。
A new optimizer-Particle Swarm Optimization(PSO) is introduced.Developments in the PSO such as inertia weight,constriction factor,tracking and optimizing dynamic systems etc are reviewed.Then,its applications in some basic areas:function optimization,neural network training and fuzzy control system are summarized.Following this,several important engineering application examples are given.Finally,the research and application of PSO in the future are pointed out and its potential application in computer aided process planning is proposed.
出处
《计算机应用研究》
CSCD
北大核心
2003年第12期7-11,共5页
Application Research of Computers
基金
国家863/CIMS主题资助项目(2002AA413720)
国家863/CIMS主题资助项目(2002AA411710)
关键词
粒子群优化算法
遗传算法
神经网络
模糊系统
Particle Swarm Optimization Algorithm
Genetic Algorithm
Neural Network
Fuzzy Control
