Wavelength Selection for NIR Spectroscopy Based on the Binary Dragonfly Algorithm [PDF]
Molecules, 2019 Wavelength selection is an important preprocessing issue in near-infrared (NIR) spectroscopy analysis and modeling. Swarm optimization algorithms (such as genetic algorithm, bat algorithm, etc.) have been successfully applied to select the most effective
Yuanyuan Chen, Zhibin Wang
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Efficacy of swarm-based neural networks in automated depression detection [PDF]
Scientific ReportsAs depression becomes a global pandemic, this research paper presents a comprehensive study for depression diagnosis using a custom-crafted deep learning model optimized with various swarm intelligence algorithms.
Alwan Atta +4 more
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Machine learning analysis and simulation of pharmaceutical drying process based on prediction of concentration distribution and mass transfer [PDF]
Scientific ReportsModeling and analysis of the lyophilization process for low-temperature drying of pharmaceutical compounds was evaluated via a hybrid model that combines mass transfer and machine learning.
Khaled Almansour, Hashem O. Alsaab
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Parametric FEM-Based Analysis on Adaptive Vein Morphology of Dragonfly Wings Toward Material Efficiency [PDF]
BiomimeticsThis study explores how the morphological adaptations of dragonfly wing veins contribute to structural efficiency and material economy to inspire lightweight architectural design strategies.
Guanqi Zhu +2 more
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Improved Dragonfly Optimization Algorithm for Detecting IoT Outlier Sensors
Future Internet, 2022 Things receive digital intelligence by being connected to the Internet and by adding sensors. With the use of real-time data and this intelligence, things may communicate with one another autonomously.
Maytham N. Meqdad +2 more
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Contrast enhancement of digital images using dragonfly algorithm
AutomatikaContrast enhancement aims to amplify the visual quality of images by modifying the contrast level because digital images may get distorted by casual acquisition.
Soumyajit Saha +5 more
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Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using The new dragonfly algorithm [PDF]
مهندسی عمران شریف, 2021 Flood routing is one of the most complex problems investigated in hydrologic engineering and it can help design engineers to recognize the impacts of riverine projects. Among the different flood routing methods, the Muskingum model as the best hydrologic
S. Khalifeh +2 more
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Construction Algorithm of Completely Independent Spanning Tree in Dragonfly Network [PDF]
Jisuanji kexue, 2022 Dragonfly network,proposed by Kim et al.,is a topology for high-performance computer systems.In dragonfly network,compute nodes are attached to switches,the switches are organized into groups,and the network is organized as a two-level clique.There is a ...
BIAN Qing-rong, CHENG Bao-lei, FAN Jian-xi, PAN Zhi-yong
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A hybrid Dragonfly algorithm for the vehicle routing problem with stochastic demands
Intelligent Systems with Applications, 2023 A number of swarm intelligence algorithms have been proposed during the last years. Most of them are suitable for the solution of continuous optimization problems. One of them is the Dragonfly Algorithm that has been proved very efficient in the problems
Magdalene Marinaki +2 more
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Improved Dragonfly Algorithm with Neighbourhood Structures
International Journal of Scientific Research in Science and Technology, 2021 Dragonfly algorithm is a recently proposed optimization algorithm inspired on the static and dynamic swarming behaviour of dragonflies. Because of its simplicity and effectiveness, DA has received interest of specialists from various fields. Premature convergence and local optima is an issue in Dragonfly Algorithm.
S. Rajalakshmi +2 more
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