[HTML][HTML] Advances in sparrow search algorithm: a comprehensive survey

FS Gharehchopogh, M Namazi, L Ebrahimi… - … Methods in Engineering, 2023 - Springer
Mathematical programming and meta-heuristics are two types of optimization methods. Meta-
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …

Review and empirical analysis of sparrow search algorithm

Y Yue, L Cao, D Lu, Z Hu, M Xu, S Wang, B Li… - Artificial Intelligence …, 2023 - Springer
In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

A three-stage framework for vertical carbon price interval forecast based on decomposition–integration method

Z Ji, D Niu, M Li, W Li, L Sun, Y Zhu - Applied Soft Computing, 2022 - Elsevier
In the current context of pursuing carbon neutrality and carbon peaking, many countries are
accelerating the construction of carbon trading markets. Accurate prediction of carbon prices …

Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm

Y Tang, Q Dai, M Yang, T Du, L Chen - International Journal of Machine …, 2023 - Springer
Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …

Variable frequency wind speed trend prediction system based on combined neural network and improved multi-objective optimization algorithm

Z Tian, J Wang - Energy, 2022 - Elsevier
Trend prediction data with low measurement frequency has always been needed in wind
power station, but the traditional multi-step prediction method has caused error …

Strength investigation of the cemented paste backfill in alpine regions using lab experiments and machine learning

Y Hu, K Li, B Zhang, B Han - Construction and Building Materials, 2022 - Elsevier
Cemented paste backfill (CPB) is increasingly used in mines in alpine areas. The strength of
CPB is unstable due to the influence of multiple factors such as low temperature. In order to …

MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization

K Meng, C Chen, B Xin - Frontiers of Information Technology & Electronic …, 2022 - Springer
The sparrow search algorithm (SSA) is a recent meta-heuristic optimization approach with
the advantages of simplicity and flexibility. However, SSA still faces challenges of premature …

A wind speed prediction system based on new data preprocessing strategy and improved multi-objective optimizer

Z Tian, J Wang - Renewable Energy, 2023 - Elsevier
The way to predict wind speed more accurately has always been one of the most important
problems. The current combination prediction models have some limitations in data …

[HTML][HTML] Comparative Analysis of Convolutional Neural Network-Long Short-Term Memory, Sparrow Search Algorithm-Backpropagation Neural Network, and Particle …

L Zhen, A Bărbulescu - Water, 2024 - mdpi.com
Modeling and forecasting the river flow is essential for the management of water resources.
In this study, we conduct a comprehensive comparative analysis of different models built for …

Investigation of the strength of concrete-like material with waste rock and aeolian sand as aggregate by machine learning

Y Hu, K Li, B Zhang, B Han - Journal of Computational Design …, 2022 - academic.oup.com
Solid waste filling is an important development direction for filling mining technology. This
paper proposes to use waste rock and aeolian sand as aggregates to fill the underground …