Results 1 to 10 of about 280 (148)

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

Biomimetics
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, Zengtong Lu, Zhipeng Qiu, Hao Cheng   +3 more
doaj   +5 more sources

Research on Sea State Signal Recognition Based on Beluga Whale Optimization–Slope Entropy and One Dimensional–Convolutional Neural Network [PDF]

Sensors
This 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   +5 more sources

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

Biomimetics
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, Haijun Liu, Weifeng Shan, Yuan Yao, Lili Xing, Haoran Wang, Kunpeng Zhang   +6 more
doaj   +3 more sources

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

Biomimetics
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, Zhenhua Xiao, Xi Li, Zhenghua Huang, Cong Zhang   +4 more
doaj   +4 more sources

Improving medical image classification based on Boosted Beluga Whale Optimizer with Triangular Mutation and Cross Vision transformer models

Egyptian Informatics Journal
In this study, we introduce a framework for medical image classification that combines deep learning models with modified Beluga Whale Optimization as a feature selection technique.
Abdelghani Dahou, Mohamed Abd Elaziz, Ahmad O. Aseeri, Ahmed A. Ewees, Mohammed A.A. Al-qaness, Rehab Ali Ibrahim   +5 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, Siti Fatin Mohd Razali, Wan Hanna Melini Wan Mohtar, Norinah Abd Rahman, Zaher Mundher Yaseen   +4 more
doaj   +2 more sources

Multi-objective optimization design of anti-roll torsion bar using improved beluga whale optimization algorithm [PDF]

Railway Sciences
Purpose – This study aims to reduce the redundant weight of the anti-roll torsion bar brought by the traditional empirical design and improving its strength and stiffness.
Yonghua Li, Zhe Chen, Maorui Hou, Tao Guo   +3 more
doaj   +3 more sources

Beluga Optimization Algorithm for Near-Infrared Spectral Variable Selection of Complex Samples [PDF]

Foods
Near-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, Liping Yang, Jiale Xiang, Qingwei Mao, Xihui Bian   +4 more
doaj   +2 more sources

Economic load dispatch solution of large-scale power systems using an enhanced beluga whale optimizer

Alexandria Engineering Journal, 2023
The aim of the optimization economic load dispatch (ELD) problem is to assign the optimal generated power of the thermal units for cost reduction with satisfying the loading of the operational constraints.
Mohamed H. Hassan, Salah Kamel, Francisco Jurado, Mohamed Ebeed, Mohamed F. Elnaggar   +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