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基于模糊理论的机械多目标优化设计

  

  • 出版日期:2010-04-30 发布日期:2015-08-11

Mechanical Multi-Object Optimization Design Based on Fuzzy Theory

  • Online:2010-04-30 Published:2015-08-11

PDF (PC)

342

被引次数

19

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。

关键词: 机械设计, 多目标优化设计, 模糊理论, 相似优先比法

Abstract: 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.

Key words: machine design, multi-objective optimization design, fuzzy theory, similarity priority ratio method