摘要
多目标优化设计各分目标间的矛盾性和不可公度性增加了解决问题的难度,常规求解多目标优化设计方法一般只能求出问题的有效解,而得不到设计的最优结果。该文以蜗杆传动多目标优化设计为例,采用改进的遗传算法求得若干有效解后,根据模糊理论中的相似优先比法从中确定出最有效解,即最优解,并可排出它们的优劣顺序。
It is difficult to solve multi-objective optimization for inconsistency and incomparability among each single object.Multi-objective mathematical model of worm transmission is established.Effective solutions are obtained by general optimal arithmetic,such as improved genetic algorithm.The optimal solution is chosen from these available effective solutions and then ranked by the similarity priority ratio method of fuzzy theory.
出处
《工程图学学报》
CSCD
北大核心
2010年第2期9-12,共4页
Journal of Engineering Graphics
基金
陕西省自然科学基金资助项目(2006E108)
西安理工大学科学研究基金资助项目(102-210710)
关键词
机械设计
多目标优化设计
模糊理论
相似优先比法
machine design
multi-objective optimization design
fuzzy theory
similarity priority ratio method
