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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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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A Hybrid Improved Dragonfly Algorithm for Feature Selection [PDF]
IEEE Access, 2020 Feature selection, which eliminates irrelevant and redundant features, is one of the most efficient classification methods. However, searching for an optimal subset from the original set is still a challenging problem. This paper proposes a novel feature
Xueting Cui +4 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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A Hybrid Binary Dragonfly Algorithm with an Adaptive Directed Differential Operator for Feature Selection [PDF]
Remote Sensing, 2023 Feature selection is a typical multiobjective problem including two conflicting objectives. In classification, feature selection aims to improve or maintain classification accuracy while reducing the number of selected features. In practical applications,
Yilin Chen +6 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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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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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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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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A Novel Technique for Drone Path Planning Based on a Neighborhood Dragonfly Algorithm. [PDF]
Sensors (Basel)Agrawal S, Patle BK, Sanap S.
europepmc +2 more sources