.png){kind=icon}
返回
An Improved Whale Algorithm and Its Application in Truss Optimization
.png){kind=icon}
PRE
AI
DOI：10.1007/s42235-021-0041-z.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The current Whale Optimization Algorithm (WOA) has several drawbacks, such as slow convergence, low solution accuracy and easy to fall into the local optimal solution. To overcome these drawbacks, an improved Whale Optimization Algorithm (IWOA) is proposed in this study. IWOA can enhance the global search capability by two measures. First, the crossover and mutation operations in Differential Evolutionary algorithm (DE) are combined with the whale optimization algorithm. Second, the cloud adaptive inertia weight is introduced in the position update phase of WOA to divide the population into two subgroups, so as to balance the global search ability and local development ability. ANSYS and Matlab are used to establish the structure model. To demonstrate the application of the IWOA, truss structural optimizations on 52-bar plane truss and 25-bar space truss were performed, and the results were are compared with that obtained by other optimization algorithm. It is verified that, compared with WOA, the IWOA has higher efficiency, fast convergence speed, better solution accuracy and stability. So IWOA can be used in the optimization design of large truss structures.
Keyword:
improve whale optimization algorithm
differential evolutionary algorithm
cloud theory
simulating optimization
bionic 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:
5.8
论文数:
2.0K
被引数:
4.8K
机构
引用论文
分享收藏分享收藏Improved whale optimization algorithm for feature selection in Arabic sentiment analysis改进鲸鱼优化算法在阿拉伯语情感分析中的特征选择.png)
APPLIED INTELLIGENCE
APPLIED INTELLIGENCEIF3.5
PREAI
分享收藏
查看更多内容