.png){kind=icon}
返回
An uncertain structural optimization method based on nonlinear interval number programming and interval analysis method
.png){kind=icon}
PRE
AI
DOI：10.1016/j.engstruct.2007.01.020.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
An optimization method is proposed to solve uncertain structural problems based on a nonlinear interval number programming method and an interval analysis method. A nonlinear interval number programming method is suggested to transform the uncertain optimization problem to a deterministic multi-objective optimization problem based on an order relation of interval. For each specific design vector, an interval analysis method is applied to calculate the interval of the objective function caused by uncertainty, and whereby the optimization nesting problem can be solved. A non-constraint and single-objective optimization problem is then formulated through the linear combination method of multi-objective optimization and the penalty function method. An intergeneration projection genetic algorithm is employed to seek for Pareto optimum of the uncertain problem. The presented method is applied to a benchmark test of ten-bar truss and a practical automobile frame, and the optimization results demonstrate its efficiency. (c) 2007 Published by Elsevier Ltd.
Keyword:
uncertainty
nonlinear interval number programming
interval analysis method
genetic algorithm
structural optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.4
论文数:
2.1W
被引数:
8.7W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏Fuzzy programming with fuzzy decisions and fuzzy simulation-based genetic algorithm具有模糊决策的模糊规划和基于模糊模拟的遗传算法
PREAI
分享收藏
查看更多内容