Multi-objective optimization design of anti-roll torsion bar using improved beluga whale optimization algorithm [PDF]
Railway Sciences, 2023 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 +3 more
doaj +4 more sources
An improved multi-strategy beluga whale optimization for global optimization problems [PDF]
Mathematical Biosciences and Engineering, 2023 <abstract> <p>This paper presents an improved beluga whale optimization (IBWO) algorithm, which is mainly used to solve global optimization problems and engineering problems. This improvement is proposed to solve the imbalance between exploration and exploitation and to solve the problem of insufficient convergence accuracy and speed of ...
Hongmin Chen +6 more
openaire +5 more sources
Modified beluga whale optimization with multi-strategies for solving engineering problems
Journal of Computational Design and Engineering, 2023 Abstract The beluga whale optimization (BWO) algorithm is a recently proposed metaheuristic optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to perform mirror swimming, population sharing information to cooperate in predation, and whale fall.
He-Ming Jia, Di Wu, Changsheng Wen
exaly +2 more sources
Hydropower station scheduling with ship arrival prediction and energy storage [PDF]
Scientific Reports, 2023 Effectiveness improvement in power generation and navigation for grid-connected hydropower stations have emerged as a significant concern due to the challenges such as discrepancies between declared and actual ship arrival times, as well as unstable ...
Enjiang Zhou +5 more
doaj +2 more sources
A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM [PDF]
Scientific ReportsAccurate identification of coal and gangue is a crucial guarantee for efficient and safe mining of top coal caving face. This article proposes a coal-gangue recognition method based on an improved beluga whale optimization algorithm (IBWO), convolutional
Wenchao Hao +4 more
doaj +2 more sources
Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning [PDF]
Scientific ReportsSign language (SL) is the linguistics of speech and hearing-impaired individuals. The hand gesture is the primary model employed in SL by speech and hearing-challenged people to talk with themselves and ordinary persons.
Mohammed Assiri, Mahmoud M. Selim
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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
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EnergiesAccurate photovoltaic (PV) power prediction plays a crucial role in promoting energy structure transformation and reducing greenhouse gas emissions. This study aims to improve the accuracy of PV power generation prediction. Extreme learning machine (ELM)
Wei Du +3 more
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
Journal of Computational Design and Engineering, 2023 Abstract Beluga whale optimization (BWO) algorithm is a recently proposed population intelligence algorithm. Inspired by the swimming, foraging, and whale falling behaviors of beluga whale populations, it shows good competitive performance compared to other state-of-the-art algorithms.
Hu Gang, Guo Wei
exaly +2 more sources