现代制造工程Issue(3)：77-82,6.DOI:10.16731/j.cnki.1671-3133.2017.03.013
基于混合粒子群算法的数控切削参数多目标优化
NC cutting parameters multi-objective optimization based on hybrid particle swarm algorithm
摘要
Abstract
To choose the reasonable NC cutting parameter,the mathematical models for cost and machine efficiency of cutting parameters in cutting state were established.Aiming at the nonlinearity and multi-constraints of NC cutting parameters optimization problem,the constraint violation of method was used to process constraints.In order to avoid algorithm into local optimum,algorithm introduced Metropolis twice sampling criteria twice.An optimization method based on Hybrid Multi-Objective Particle Swarm Optimization (HMOPSO) algorithm was employed.Finally,validation calculation was successfully implemented through a cutting parameter optimization example.关键词
数控加工/切削参数/约束优化/多目标粒子群优化/模拟退火算法/Pareto最优解Key words
numerical control machining/cutting parameters/constrained optimization/Multi-Objective Particle Swarm Optimization (MOPSO)/SA/Pareto optimization分类
矿业与冶金引用本文复制引用
王宸,杨洋,袁海兵,王生怀..基于混合粒子群算法的数控切削参数多目标优化[J].现代制造工程,2017,(3):77-82,6.基金项目
湖北省教育厅重点项目(D20151803) （D20151803）
湖北省教育厅重点项目(D20141802) （D20141802）
湖北省教育厅指导性项目(B2016084) （B2016084）
