Results 1 to 10 of about 2,525 (152)
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 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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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
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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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Automatic Brain Tumor Classification via Lion Plus Dragonfly Algorithm. [PDF]
J Digit Imaging, 2022 Denoising, skull stripping, segmentation, feature extraction, and classification are five important processes in this paper's development of a brain tumor classification model. The brain tumor image will be imposed first using the entropy-based trilateral filter to de-noising and this image is imposed to skull stripping by means of morphological ...
Leena B, Jayanthi AN.
europepmc +3 more sources
A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors. [PDF]
Sensors (Basel), 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
Shukla NK, Srivastava R, Mirjalili S.
europepmc +5 more sources
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
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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AI-powered VM selection: Amplifying cloud performance with dragonfly algorithm. [PDF]
HeliyonThe convenience and cost-effectiveness offered by cloud computing have attracted a large customer base. In a cloud environment, the inclusion of the concept of virtualization requires careful management of resource utilization and energy consumption.
Rashmi S +7 more
europepmc +3 more sources