摘要
文章介绍了微粒群优化算法的原理,提出了增加种群多样性和算法随机性的改进微粒群算法及实现过程,并把该算法应用于复杂机械优化问题。实例表明,该方法全局收敛性好,是解决工程设计中复杂线性优化问题的可行方法。
The principle and realization processes of the Particle Swarm Optimization are summarily reviewed in this paper. An improved Optimization algorithm is proposed. It increases the variety of colony and makes algorithm more stochastic. Numerical experiments show that the algorithm has more astringency and is an effective method for sol- ving non-differentiable mechanical optimization problems.
出处
《太原科技大学学报》
2007年第3期213-216,共4页
Journal of Taiyuan University of Science and Technology
关键词
微粒群算法
机械优化
最优解
particle swarm optimization, mechanism optimization, optimization solution
