.png){kind=icon}
返回
Grasshopper Optimisation Algorithm: Theory and application
.png){kind=icon}
PRE
AI
DOI：10.1016/j.advengsoft.2017.01.004.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes an optimisation algorithm called Grasshopper Optimisation Algorithm (GOA) and applies it to challenging problems in structural optimisation. The proposed algorithm mathematically models and mimics the behaviour of grasshopper swarms in nature for solving optimisation problems. The GOA algorithm is first benchmarked on a set of test problems including CEC2005 to test and verify its performance qualitatively and quantitatively. It is then employed to find the optimal shape for a 52-bar truss, 3-bar truss, and cantilever beam to demonstrate its applicability. The results show that the proposed algorithm is able to provide superior results compared to well-knowri and recent algorithms in the literature. The results of the real applications also prove the merits of GOA in solving real problems with unknown search spaces. (C) 2017 Elsevier Ltd. All rights reserved.
Keyword:
Optimization
Optimization techniques
Heuristic algorithm
Metaheuristics
Constrained optimization
Benchmark
Algorithm
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:
5.7
论文数:
3.3K
被引数:
1.2W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏Purification of Copper Nanowires To Prepare Flexible Transparent Conductive Films with High Performance提纯铜纳米线制备高性能柔性透明导电薄膜
PREAI
分享收藏
Adsorption of Cu(II), Pb(II), and Cd(II) Ions from Acidic Aqueous Solutions by Diethylenetriaminepentaacetic Acid-Modified Magnetic Graphene Oxide二乙烯三胺五乙酸改性的磁性氧化石墨烯对酸性水溶液中Cu(II)，Pb(II) 和Cd(II) 离子的吸附
PREAI
分享收藏
查看更多内容