多目标猫群算法求解切削参数优化问题

针对车床切削过程的复杂性，在充分考虑加工过程约束条件的基础上，建立了生产率、刀具耗损寿命和表面粗糙度的切削参数优化问题的数学模型。推导和分析发现，目标函数和和分析切削参数约束条件都是关于进给量、切削速度和背吃刀量的方程和不等式，为优化奠定了良好的基础。采用改进的多目标猫群算法进行优化，结果表明，该算法能有效求解切削参数优化问题。

Multi-objective Cat Swarm Optimization Solving Cutting Parameter Optimization Problem

According to the complexity of the lathe cutting process, based on consideration of the constraint condition of machining process, cutting parameter optimization mathematical model is established with three objectives, which are productivity, tool loss of life and surface roughness. Derivation and analysis, finding that the objective function and constraint condition analysis and cutting parameters are about, cutting speed , quantity equation and inequality of feed speed anddepth of cut. Using the improved multi-objective cat swarm optimization to optimization, the results show that the proposed algorithm can effectively solve cutting parameters optimization problem.