摘要
QPSO是基于PSO的改进算法,具有全局搜索能力强,收敛速度快、鲁棒性高等特点。现利用QPSO对根据数控加工中机床和刀具的实际约束而建立的以进给量和切削速度为变量的数学模型进行优化,仿真结果表明经过QPSO优化得到的进给量和切削速度的值比经验值更能满足生产率最大化和生产成本最小化的要求,同时也明显优于PSO。
QPSO （quantum particle swarm optimization） is owing to the PSO （particle swarm optimization） improvement algorithm. It has an advanced characteristics of strong overall situation searching ability, high convergence speed and high rude stick. This paper uses QPSO to optimize the mathematic model according to the variable of CNC machine tool and cutting feed and speed. The simulated result imdicates that the cutting feed and speed values which are optimized by QPSO are more applied to the requirements of high production and low production costs and the values are obviously better than those of PSO.
出处
《机械制造与自动化》
2010年第1期135-137,共3页
Machine Building & Automation
关键词
数控加工
切削参数
优化
QPSO
PSO
numerical control machining
cutting parameters
optimization
QPSO
PSO
