Modified grey wolf optimizer-based support vector regression for ship maneuvering identification with full-scale trial
X Zhang, Y Meng, Z Liu, J Zhu - Journal of Marine Science and …, 2022 - Springer
This study explores a nonparametric identification scheme for a ship maneuvering
mathematical model. To overcome the difficulty in setting support vector regression (SVR) …
mathematical model. To overcome the difficulty in setting support vector regression (SVR) …
Enumeration optimization of open pit production scheduling based on mobile capacity search domain
X Xu, X Gu, Q Wang, Y Zhao, W Kong, Z Zhu… - Scientific Reports, 2023 - nature.com
The optimization of open pit mine production scheduling is not only a multistage decision-
making problem but also involves space–time dynamic action among multiple factors, which …
making problem but also involves space–time dynamic action among multiple factors, which …
[PDF][PDF] Biomimicry for Mining: Investigating the Applications of Swarm Robotics and Other Nature-Inspired Designs for Mining
J Tan, N Melkoumian, D Harvey, R Akmeliawati - 2024 - preprints.org
This review critically examines the integration of biomimicry, nature-inspired algorithms
(NIAs), and swarm robotics to enhance sustainability, automation, and efficiency in mining …
(NIAs), and swarm robotics to enhance sustainability, automation, and efficiency in mining …
Support vector regression ship motion identification modeling based on grey wolf optimizer
Y Meng, X Zhang, Z Liu, X Wang - 2021 40th Chinese Control …, 2021 - ieeexplore.ieee.org
In order to improve the accuracy of ship motion identification modeling, the grey wolf
optimizer (GWO) algorithm is used to optimize the hyperparameters of support vector …
optimizer (GWO) algorithm is used to optimize the hyperparameters of support vector …