现代信息科技2024，Vol.8Issue(7)：100-106,7.DOI:10.19850/j.cnki.2096-4706.2024.07.022
基于多目标优化模型的扇叶最优分组与排列方案
Optimal Grouping and Arrangement Scheme of Fan Blades Based on Multi-objective Optimization Model
摘要
Abstract
The indicators for measuring the quality of a single fan blade structure of a certain machinery include two parameter:"mass"and"rotational frequency",In order to assemble the entire fan reasonably,it is necessary to minimize the mass difference between adjacent groups of fan blades and maximize the frequency difference between adjacent blades.Firstly,a mass grouping model with single objective optimization is constructed,and then a recursive dynamic planning algorithm is introduced to minimize the mass difference between adjacent groups of fan blades.At the same time,considering the influence of rotational frequency,a mass grouping model with multi-objective optimization is established,and the dynamic weight linear weighting method is used,by comparing the maximum mass difference between adjacent groups of fan blades and maximum frequency difference between adjacent blades under different weights,it is found that when the weights of target A and target B are both 0.5,the scheme provided by the model has the best effect.关键词
递推型动态规划算法/多目标优化分组模型/动态权重线性加权法Key words
recursive dynamic planning algorithm/multi-objective optimization grouping model/dynamic weight linear weighting method分类
信息技术与安全科学引用本文复制引用
薛煌铠,宋佳怡,苗育睿..基于多目标优化模型的扇叶最优分组与排列方案[J].现代信息科技,2024,8(7):100-106,7.
