Stock market prediction using Altruistic Dragonfly Algorithm. [PDF]
PLoS ONE, 2023 Stock market prediction is the process of determining the value of a company's shares and other financial assets in the future. This paper proposes a new model where Altruistic Dragonfly Algorithm (ADA) is combined with Least Squares Support Vector ...
Bitanu Chatterjee +4 more
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Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications [PDF]
Sensors, 2021 Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions.
Bibi Aamirah Shafaa Emambocus +3 more
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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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A Hybridization of Dragonfly Algorithm Optimization and Angle Modulation Mechanism for 0-1 Knapsack Problems [PDF]
Entropy, 2021 The dragonfly algorithm (DA) is a new intelligent algorithm based on the theory of dragonfly foraging and evading predators. DA exhibits excellent performance in solving multimodal continuous functions and engineering problems.
Lin Wang, Ronghua Shi, Jian Dong
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Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm
Renewables: Wind, Water, and Solar, 2018 Distributed generation (DG) is small generating plants which are connected to consumers in distribution systems to improve the voltage profile, voltage regulation, stability, reduction in power losses and economic benefits.
M. C. V. Suresh, Edward J. Belwin
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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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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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