摘要
快速粒子群优化能在解空间快速收敛的粗粒度进化迭代,但是其容易陷入局部极值,从而失去继续寻找全局最优的能力。给出了一种基于快速粒子群优化的两种粒度优化方案,克服了快速粒子群优化的缺点,同时能够得到全局最优。
The fast particle swarm optimization algorithm can quickly get the convergent speed in resolution space on local best and lose the stemma for global best resolution.A coarse and fine grain PSO is proposed in this paper which can not only converge fast,but also can get the global optimization.
出处
《中国西部科技》
2010年第25期6-7,9,共3页
Science and Technology of West China
关键词
粒子群优化
微分方程
简单迭代
收敛参数
Particle swarm optimization
Coarse grain
Fine grain
Hybrid grain
