摘要
建立了以最小制造成本为目标,以装配功能要求和工序加工能力为约束的并行公差优化设计模型.将粒子群工具箱作为并行公差优化设计模型的求解工具,并给出具体的流程.最后,通过一个实例的求解验证利用基于粒子群工具箱的粒子群算法求解并行公差优化模型的可行性.通过与已有结果的比较,说明了该方法在求解非凸规划问题时的优越性.
Firstly, a concurrent tolerance optimization design model was established. Minimum manufacturing cost was used as the optimization goal, and the assembly function requirement and machining capability were given as the restriction conditions of the model. Then, the particle swarm optimization toolbox （PSOt） was used to find out the solution to the concurrent tolerance optimization design model, and the detailed process was given. Finally, the optimization result for an example was given to illustrate the validity of the particle swarm optimization （PSO）based on PSOt. Compared with the existing result, the proposed method is better in solving non-convex programming problems.
出处
《天津科技大学学报》
CAS
2013年第1期67-70,共4页
Journal of Tianjin University of Science & Technology
基金
天津科技大学科学研究基金资助项目(20100226)
关键词
并行公差
成本公差函数
粒子群算法
粒子群工具箱
concurrent tolerance
cost-tolerance function
particle swarm optimization
PSOt
