Multi-Objective Robust Optimal Design Based on Fuzzy Mathematics

摘要：

In robust optimal design, the design objective often involves multiple aspects such as bringing the mean of performance on target and minimizing the variations. Current ways of handling multiple aspects using either the Taguchis signalto-noise ratio or the weighted-sum method are not adequate. And in process and production design, there are a lot of fuzzy factors and random factors. In this paper, we solve multi-objective robust optimal design problems from a practical perspective by fuzzy mathematics. Firstly, we review the discrete tolerance design model which is often used in computer aided tolerance design. Secondly we gain the satisfactorily global optimal solution of the multiobjective problem by use of principle of fuzzy closeness optimization. At last results from applying the above techniques to an optimal example show that the proposed approach is effective.

关键词： tolerance design fuzzy mathematics multiobjective optimization

作者: ZHANG Sumei

作者单位: Department of applied mathematics School of science, Xian university of Post and Telecommunications Xian, China

会议类型: 国际会议

会议名称: 2010 International Symposium on Computational Intelligence and Edsign(第三届计算智能与设计国际学术研讨会 ISCID 2010)

会议地点: 杭州

会议语种:英文

页码: 98-101

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）