Multi-objective optimum of composite bolted joints by using the multi-layer convex hull method

被引：3
|
作者：
Zhao, Shiwei [1 ]
Li, Daochun [1 ]
Xiang, Jinwu [1 ]
机构：
[1] Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100191, Peoples R China
来源：
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION | 2018年 / 58卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Composite; Bolted joint; Spring method; Optimum; Convex hull; GENETIC ALGORITHM; OPTIMIZATION; DESIGN; UNCERTAINTIES; RANGE; MODEL;
D O I：
10.1007/s00158-018-1964-9
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The selection of optimum design points is difficult due to the fact that the number of Pareto optimal design points grows explosively with the increase of objective dimensions. A finer described Pareto frontier contains many more Pareto optimal design points which increase the selection difficulty. In this paper, the multi-layer convex hull method is developed to decrease the selection number of the multi-objective optimum design points. The concept multi-layer convex hull method is like onions with the convex hulls built firm outside to inside. A three-objective optimum design of bolted composite joints is employed to validate this method. Result shows that the large individual number that has to be checked in the last generation is decreased significantly.
引用
收藏
页码：1233 / 1242
页数：10
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