求解多目标公差优化分配问题的HVG-ABC算法  

Multi-Objective Optimization of Tolerance Assignment Problem Based on HVG-ABC (Hybridization Variation Global-Artificial Bee Colony) Algorithm

作　　者：胡西彪 张卫[1] HU Xi-biao;ZHANG Wei(School of Mechanical Engineering,Nanjing University of Science and Technology,Jiangsu Nanjing 210094,China)

机构地区：[1]南京理工大学机械工程学院

出　　处：《机械设计与制造》2019年第12期93-96,共4页Machinery Design & Manufacture

基　　金：江苏省产学研联合创新资金前瞻性研究项目(NO.BY2015004-09)

摘　　要：针对公差优化分配问题的特点,提出了一种为求解多目标公差优化分配问题的基于杂交变异操作的全局人工蜂群(Hybridization Variation Global-Artificial Bee Colony,HVG-ABC)算法。以加工成本和质量损失成本为优化指标,以装配精度和加工能力为约束条件,建立了基于加权平均法的多目标优化模型。针对传统人工蜂群算法精于探索、疏于开发的特性,采用杂交变异和最优解引导的方法,不仅很好的平衡了算法探索和开发的能力,并且在一定程度上提高了算法的全局寻优能力。以拉舍尔型高速经编机中的编花部件为例,验证了该方法的有效性。Ainmingat the problem of multi-objective tolerance optimal allocation,the Hybridization Variation Global-Artificial Bee Colony(HVG-ABC)algorithm was proposed.Taking the processing cost and quality loss cost as the optimization objective,the multi-objective optimization model based on the weighted average method was established under the constraint of assembly function and processing capacity.Aiming at the characteristics of traditional artificial bee colony algorithm which was good for exploration and less developed,the method of hybrid mutation and optimal solution was adopted.The ability of algorithm exploration and development was balanced,and the global optimization ability of the algorithm was improved to a certain extent.By the example of a key knitting machine component,the validity of the model was verified.

关 键 词：公差优化 多目标 人工蜂群算法 

分 类 号：TH16[机械工程—机械制造及自动化] TH124