Results 21 to 30 of about 207 (112)

A rhinopithecus swarm optimization algorithm for complex optimization problem [PDF]

open access: yesScientific Reports
This paper introduces a novel meta-heuristic algorithm named Rhinopithecus Swarm Optimization (RSO) to address optimization problems, particularly those involving high dimensions.
Guoyuan Zhou   +4 more
doaj   +2 more sources

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

open access: yesAlexandria 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   +4 more
doaj   +1 more source

Multimodal representative answer extraction in community question answering

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
To solve the information overload problem of multimodal answers in community question answering (CQA), this paper proposes a multimodal representative answer extraction method.
Ming Li, Yating Ma, Ying Li, Yixue Bai
doaj   +1 more source

Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms

open access: yesInternational Journal of Digital Earth, 2023
Landslides are one of the most common geological hazards worldwide, especially in Sichuan Province (Southwest China). The current study's main purposes are to explore the potential applications of convolutional neural networks (CNN) hybrid ensemble ...
Zhuo Chen, Danqing Song
doaj   +1 more source

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

open access: yesRailway 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   +3 more
doaj   +1 more source

VMD-LSTM Short-term Wind Speed Prediction Model Based on BWO and WOA [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban
In view of the power fluctuation and randomness existing in the operation of wind turbine networks, to improve the accuracy of wind speed prediction and the stability of wind turbine operation, in this study a VMDLSTM short-term wind speed prediction ...
JIA Shihui   +3 more
doaj   +1 more source

The kinematics analysis and improvement of the 3T1R 4-PUU parallel mechanism using the whale optimization algorithm [PDF]

open access: yesMechanical Sciences
This paper focuses on the 4-PUU parallel mechanism with Schönflies motion, investigating its kinematic analysis and utilizing intelligent algorithms to solve its forward kinematics equations.
K. Wen, X. Zhou, A. Jiang, J. Li
doaj   +1 more source

Collaborative Optimization of Air Compressor Units Based on MSI-BWO Algorithm

open access: yesIEEE Access
To improve the operational efficiency of compressor units and reduce waste, a Multi-Strategy Improved Beluga Whale Optimization (MSI-BWO) algorithm is proposed for the collaborative combination optimization of compressor units in an air compressor plant.
Lei Chen   +4 more
doaj   +1 more source

Inversion of Rayleigh wave dispersion curve based on beluga whale optimization algorithm

open access: yesContributions to Geophysics and Geodesy
Rayleigh wave exploration is a crucial technique in engineering site investigation for obtaining subsurface stratigraphic information. Inverting its dispersion curve can effectively reveal underground structures.
Fengjun WU   +4 more
doaj   +1 more source

Short‐ and Long‐Term Load Forecasting Using VMD With Temporal Dual Learners Network: A Case Study in Kuwait

open access: yesInternational Journal of Energy Research, Volume 2026, Issue 1, 2026.
Forecasting the demand for electrical load precisely is essential for the steady and energy‐efficient operation of today’s power systems, especially in places where there is much variability in demand. In this study, we propose a novel hybrid deep learning framework, termed variational mode decomposition with temporal dual learners network (VMD‐TDLNet),
Maha Alqallaf   +4 more
wiley   +1 more source

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