基于开放式约束配置平台的车削参数优化研究

Research on Cutting Parameters Optimization based on the Open Platform for Constraints Configuration

在分析传统的基于遗传算法的切削参数优化方法的基础上,开发了一个基于遗传算法开放式的约束配置平台。这个约束配置平台在遗传算法中利用不可行度选择操作处理约束条件和选用约束主导原理指导进化过程选择操作,这样不但考虑到了不可行解在搜索中的作用,使得GA群体搜索的特点得到了很好的利用;而且可以根据具体加工环境和加工工艺情况进行开放式的增减约束,使得本模型具有很好的通用性和鲁棒性。最后通过算例验证了约束配置平台的优越性。

Based on the analysis of the traditional genetic algorithm optimization of cutting parameters,an open configuration platform for constraints is developed based on the genetic algorithm. The infeasibility degree of a solution（IFD） selection is used to handle the constraints and the constraint domain principle was applied to guide the evolutionary process. The platform not only takes account of infeasible solution in the search function, makes a full application of the characteristic in the GA community searches, but also is enable the operation to add or subtract the constraints according to the processing environment and the processing technology. The platform shows good versatility and robustness through the example.