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
doaj +7 more sources
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 Dragonfly Algorithm for Efficiency Optimization of Induction Motors [PDF]
Sensors, 2022 Induction motors tend to have better efficiency on rated conditions, but at partial load conditions, when these motors operate on rated flux, they exhibit lower efficiency. In such conditions, when these motors operate for a long duration, a lot of electricity gets consumed by the motors, due to which the computational cost as well as the total running
Seyedali Mirjalili +2 more
exaly +6 more sources
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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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 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 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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Dragonfly Algorithm and Its Applications in Applied Science Survey. [PDF]
Comput Intell Neurosci, 2019 One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili. Dragonfly algorithm has shown its ability to optimizing different real-world problems. It has three variants. In this work, an overview of the algorithm and its variants is presented.
Rahman CM, Rashid TA.
europepmc +4 more sources
Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection. [PDF]
SN Comput Sci, 2021 There are various fields are affected by the growth of data dimensionality. The major problems which are resulted from high dimensionality of data including high memory requirements, high computational cost, and low machine learning classifier performance.
Chantar H +3 more
europepmc +5 more sources
Digital Watermarking using Dragonfly Optimization Algorithm [PDF]
Journal of Information Technology Management, 2020 In this paper a novel digital watermarking algorithm is proposed. The proposed method comprises of a watermarking embedding and extraction algorithm using bio inspired optimization technique.
Satender Sharma +3 more
doaj +2 more sources