AMBWO: An Augmented Multi-Strategy Beluga Whale Optimization for Numerical Optimization Problems [PDF]
BiomimeticsBeluga whale optimization (BWO) is a swarm-based metaheuristic algorithm inspired by the group behavior of beluga whales. BWO suffers from drawbacks such as an insufficient exploration capability and the tendency to fall into local optima.
Guoping You +3 more
doaj +4 more sources
Research on Sea State Signal Recognition Based on Beluga Whale Optimization–Slope Entropy and One Dimensional–Convolutional Neural Network [PDF]
SensorsThis study introduces a novel nonlinear dynamic analysis method, known as beluga whale optimization–slope entropy (BWO-SlEn), to address the challenge of recognizing sea state signals (SSSs) in complex marine environments. A method of underwater acoustic
Yuxing Li, Zhaoyu Gu, Xiumei Fan
doaj +4 more sources
MSBWO: A Multi-Strategies Improved Beluga Whale Optimization Algorithm for Feature Selection [PDF]
BiomimeticsFeature selection (FS) is a classic and challenging optimization task in most machine learning and data mining projects. Recently, researchers have attempted to develop more effective methods by using metaheuristic methods in FS.
Zhaoyong Fan +4 more
doaj +4 more sources
Machine learning models development for accurate multi-months ahead drought forecasting: Case study of the Great Lakes, North America. [PDF]
PLoS ONE, 2023 The Great Lakes are critical freshwater sources, supporting millions of people, agriculture, and ecosystems. However, climate change has worsened droughts, leading to significant economic and social consequences.
Mohammed Majeed Hameed +4 more
doaj +2 more sources
Optimizing Deep Learning Models with Improved BWO for TEC Prediction [PDF]
BiomimeticsThe prediction of total ionospheric electron content (TEC) is of great significance for space weather monitoring and wireless communication. Recently, deep learning models have become increasingly popular in TEC prediction.
Yi Chen +6 more
doaj +2 more sources
Beluga Optimization Algorithm for Near-Infrared Spectral Variable Selection of Complex Samples [PDF]
FoodsNear-infrared (NIR) spectroscopy combined with multivariate calibration methods is widely used for the quantitative analysis of complex samples. However, the high-dimensional redundancy of spectra may compromise model predictive accuracy, making it ...
Javaria Kousar +4 more
doaj +2 more sources
Dynamic Candidate Solution Boosted Beluga Whale Optimization Algorithm for Biomedical Classification
Mathematics, 2023 In many fields, complicated issues can now be solved with the help of Artificial Intelligence (AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms used to tackle numerous issues in various fields is the Beluga Whale ...
Essam H. Houssein, Awny Sayed
doaj +3 more sources
Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent optimization algorithm. [PDF]
PLoS ONETraditional PID control faces challenges in addressing parameter uncertainty and nonlinearity in active suspension electrohydraulic servo actuators, leading to suboptimal performance. To address these challenges, a fractional-order PID (FOPID) controller
Qinghe Guo +5 more
doaj +2 more sources
Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM. [PDF]
PLoS ONEThis study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy.
Xiangjuan Liu +4 more
doaj +2 more sources
Bearing remaining useful life prediction based on optimized VMD and BiLSTM-CBAM. [PDF]
PLoS ONETo address the issue of low accuracy in existing remaining useful life (RUL) prediction algorithms for rolling bearings, this paper proposes a novel RUL prediction method based on the Beluga Whale Optimization (BWO) algorithm, Variational Mode ...
Wei Liu, Sen Liu
doaj +2 more sources