基于混合粒子群算法的数控切削参数多目标优化

摘要

为选择合理的数控切削用量,建立了加工成本和数控切削加工效率的数学模型.针对模型其多约束、非线性的特点,采用约束违背度方法处理约束条件.为避免算法陷入局部最优,两次引入Metropolis抽样准则,提出混合多目标粒子群优化算法(HMOPSO)求解.最后采用层次分析法选择最优Pareto解,并通过实例计算对所提出方法进行了验证.%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.