AMBWO: An Augmented Multi-Strategy Beluga Whale Optimization for Numerical Optimization Problems [PDF]
Beluga 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
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Hyperparameter optimization ResNet by improved Beluga Whale Optimization. [PDF]
The parameter values of neural networks will directly affect the performance of the network, so it is very important to choose the appropriate parameter tuning method to improve the performance of the neural network.
Huan Liu +4 more
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Simulation optimization problems with stochastic constraints are optimization problems with deterministic cost functions subject to stochastic constraints.
Shih-Cheng Horng, Shieh-Shing Lin
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MSBWO: A Multi-Strategies Improved Beluga Whale Optimization Algorithm for Feature Selection [PDF]
Feature 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
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Dynamic Candidate Solution Boosted Beluga Whale Optimization Algorithm for Biomedical Classification
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
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Blueberry bruise non-destructive detection based on hyperspectral information fusion combined with multi-strategy improved Beluga Whale Optimization algorithm [PDF]
IntroductionMechanical damage significantly reduces the market value of fruits, making the early detection of such damage a critical aspect of agricultural management. This study focuses on the early detection of mechanical damage in blueberries (variety:
Xiaoxiong Sun +3 more
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Machine learning models development for accurate multi-months ahead drought forecasting: Case study of the Great Lakes, North America. [PDF]
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
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An Enhanced Misinformation Detection Model Based on an Improved Beluga Whale Optimization Algorithm and Cross-Modal Feature Fusion [PDF]
The proliferation of multimodal misinformation on social media has become a critical concern. Although detection methods have advanced, feature representation and cross-modal semantic alignment challenges continue to hinder the effective use of ...
Guangyu Mu +5 more
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Optimizing Deep Learning Models with Improved BWO for TEC Prediction [PDF]
The 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
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Trajectory Planning of Spraying Robot Based on Multi Strategy Improved Beluga Optimization Algorithm [PDF]
In this paper, a trajectory planning method based on an improved beluga whale optimization algorithm is proposed for the trajectory planning of plasma-spraying robot with complex surfaces. Firstly, the system architecture, kinematics model and trajectory
Yifang Wen, Renzhong Wang, Ting Huang
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