.png){kind=icon}
返回
The improved grasshopper optimization algorithm and its applications
.png){kind=icon}
OA
AI
DOI：10.1038/s41598-021-03049-6.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Grasshopper optimization algorithm (GOA) proposed in 2017 mimics the behavior of grasshopper swarms in nature for solving optimization problems. In the basic GOA, the influence of the gravity force on the updated position of every grasshopper is not considered, which possibly causes GOA to have the slower convergence speed. Based on this, the improved GOA (IGOA) is obtained by the two updated ways of the position of every grasshopper in this paper. One is that the gravity force is introduced into the updated position of every grasshopper in the basic GOA. And the other is that the velocity is introduced into the updated position of every grasshopper and the new position are obtained from the sum of the current position and the velocity. Then every grasshopper adopts its suitable way of the updated position on the basis of the probability. Finally, IGOA is firstly performed on the 23 classical benchmark functions and then is combined with BP neural network to establish the predicted model IGOA-BPNN by optimizing the parameters of BP neural network for predicting the closing prices of the Shanghai Stock Exchange Index and the air quality index (AQI) of Taiyuan, Shanxi Province. The experimental results show that IGOA is superior to the compared algorithms in term of the average values and the predicted model IGOA-BPNN has the minimal predicted errors. Therefore, the proposed IGOA is an effective and efficient algorithm for optimization.
Keyword:
SWARM OPTIMIZATION
INTELLIGENCE
PREDICTION
DESIGN
CARCINOMA
MODEL
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:
3.9
论文数:
28.2W
被引数:
83.5W
机构
引用论文
Anthocyanin-rich Aronia melanocarpa extract improves body temperature maintenance in healthy women with a cold constitution.png)
SpringerPlus
OAAI
SpringerPlusIF0
OAAI分享收藏Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm蛾焰优化算法: 一种新的自然启发启发式范式
PREAI
分享收藏Generalized radial basis function neural network based on an improved dynamic particle swarm optimization and AdaBoost algorithmNEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the BladderJOURNAL OF UROLOGY
JOURNAL OF UROLOGYIF6.8
PREAI
分享收藏分享收藏Sizing optimization of truss structures using the political optimizer (PO) algorithmSTRUCTURES
STRUCTURESIF4.3
PREAI
分享收藏
查看更多内容