.png){kind=icon}
返回
Permutation genetic algorithm for stacking sequence design of composite laminates
.png){kind=icon}
PRE
AI
DOI：10.1016/S0045-7825(99)90391-2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Stacking sequence design of a composite laminate with a given set of plies is a combinatorial problem of seeking an optimal permutation. Permutation genetic algorithms optimizing the stacking sequence of a composite laminate for maximum buckling load are studied. A new permutation GA named gene-rank GA is developed and compared with an existing Partially Mapped Permutation GA, originally developed for solving the travelling salesman problem. The two permutation GAs are also compared with a standard non-permutation GA. It is demonstrated through examples that the permutation GAs are more efficient for slacking sequence optimization than a standard GA. Repair strategies for standard GA and the two permutation GAs for dealing with constraints are also developed. It is shown that using repair can significantly reduce computation cost for both standard GA and permutation GA. (C) 2000 Elsevier Science S.A. All rights reserved.
Keyword:
BUCKLING LOAD
OPTIMIZATION
PLATES
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:
7.3
论文数:
1.3W
被引数:
5.6W
机构
暂无机构信息
引用论文
分享收藏A Randomized Trial Comparing a Brief Meditation Retreat to a Vacation: Effects on Daily Well-Being
PREAI
分享收藏Stacking sequence optimization by a genetic algorithm with a new recessive gene like repair strategy
PREAI
分享收藏Potential use of Solanum lycopersicum and plant growth promoting rhizobacterial (PGPR) strains for the phytoremediation of endosulfan stressed soil.png)
Chemosphere
ChemosphereIF0
PREAI
分享收藏
查看更多内容