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AMBWO: An Augmented Multi-Strategy Beluga Whale Optimization for Numerical Optimization Problems [PDF]

open access: yesBiomimetics
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
doaj   +6 more sources

Hyperparameter optimization ResNet by improved Beluga Whale Optimization. [PDF]

open access: yesPLoS ONE
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
doaj   +3 more sources

Improved Beluga Whale Optimization for Solving the Simulation Optimization Problems with Stochastic Constraints

open access: yesMathematics, 2023
Simulation optimization problems with stochastic constraints are optimization problems with deterministic cost functions subject to stochastic constraints.
Shih-Cheng Horng, Shieh-Shing Lin
doaj   +4 more sources

MSBWO: A Multi-Strategies Improved Beluga Whale Optimization Algorithm for Feature Selection [PDF]

open access: yesBiomimetics
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
doaj   +4 more sources

Dynamic Candidate Solution Boosted Beluga Whale Optimization Algorithm for Biomedical Classification

open access: yesMathematics, 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   +4 more sources

Blueberry bruise non-destructive detection based on hyperspectral information fusion combined with multi-strategy improved Beluga Whale Optimization algorithm [PDF]

open access: yesFrontiers in Plant Science
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
doaj   +4 more sources

Machine learning models development for accurate multi-months ahead drought forecasting: Case study of the Great Lakes, North America. [PDF]

open access: yesPLoS 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

An Enhanced Misinformation Detection Model Based on an Improved Beluga Whale Optimization Algorithm and Cross-Modal Feature Fusion [PDF]

open access: yesBiomimetics
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
doaj   +2 more sources

Optimizing Deep Learning Models with Improved BWO for TEC Prediction [PDF]

open access: yesBiomimetics
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
doaj   +2 more sources

Trajectory Planning of Spraying Robot Based on Multi Strategy Improved Beluga Optimization Algorithm [PDF]

open access: yesSensors
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
doaj   +2 more sources

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