摘要
微粒群算法是近年来兴起的一种智能优化算法,微粒群算法的研究如果仅仅只停留在枯燥的公式和乏味的理论推导分析上的话,常常会使研究人员和用户不能正确的理解微粒群算法,基于此本文提出微粒群算法的可视化实现问题,即开发友好可视化的前台界面,通过前台上的控件和后台程序中参数之间的数据交换来解决优化问题,这样可大大缩短了算法的开发周期。
In recent years,particle swarm optimization is a kind of intelligent optimization algorithms,The research of PSO is boring and tedious if it stays only in formula and theoretical derivation researchers and users often can not make a proper understanding of particle swarm algorithm,Based on the above the paper proposed the visualization issues of PSO,namely,the prospects of development-friendly visual interface to control the front and back-stage process of data exchange between the parameters to solve the optimization problem,so the algorithm can greatly shorten the development cycle.
出处
《计算技术与自动化》
2011年第1期8-11,共4页
Computing Technology and Automation
关键词
微粒群算法
可视化平台
开发周期
Particle Swarm Optimization（PSO）
visualization platform
development cycle
