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Enhanced Dragonfly Algorithm Adapted for Wireless Sensor Network Lifetime Optimization
2021Wireless sensor networks represent one of the most crucial components of novel technologies, such as the internet of things and cloud computing. One of the greatest problems in any wireless sensor network is lifetime maximization, and it could be tackled by decreasing energy consumption by the nodes Numerous clustering algorithms have emerged in recent
Miodrag Zivkovic +3 more
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Implementing adaptive dragonfly optimization for privacy preservation in IoT
Journal of High Speed Networks, 2019IoT (Internet of Things) is a sophisticated analytics and automation system that utilizes networks, big data, artificial intelligence, and sensing technology, and is controlled by an embedded module. It allows one to use affordable wireless technology and transmits the data into the cloud at a component level. It also provides a place to save the data –
Apare, Ravindra S., Gujar, Satish N.
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Demming regressive multiobjective dragonfly optimized controller placement in SDN environment
2022Wireless networks are of high significance in current telecommunication systems, and in order to improve these systems, Software-Defined Networks (SDN)is used to centrally monitor and control the whole network with the help of a controller. The design of an SDN-based network is needed to identify the optimal amount of controllers for improving ...
Hemagowri, J., Selvan, P
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Improved Facial Recognition Algorithms Based on Dragonfly and Grasshopper Optimization
2021In this paper, we investigate two relatively new optimization algorithms in facial recognition, the grasshopper optimization algorithm (GOA) and binary dragonfly algorithm (BDA) which had the best performance out of 13 optimization algorithms that were compared. We investigate the effectiveness of both optimization algorithms alongside two classifiers,
Dyala Rasheed Ibrahim +2 more
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Optimized MPI collective algorithms for dragonfly topology
Proceedings of the 36th ACM International Conference on Supercomputing, 2022Guangnan Feng, Dezun Dong, Yutong Lu
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Parameter Optimization of Support Vector Machine Using Dragonfly Algorithm
2017Support Vector Machine (SVM) parameters such as penalty and kernel parameters have a great influence on the complexity and accuracy of the classification model. In this paper, Dragonfly algorithm (DA) has been proposed to optimize the parameters of SVM; thus, the classification error can be decreased.
Alaa Tharwat +2 more
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Optimizing PEMFC model parameters using dragonfly algorithm: a performance study
5th IET International Conference on Clean Energy and Technology (CEAT2018), 2018The aims of optimizing the proton exchange membrane fuel cells (PEMFC) model is to obtain the parameters used to plot the polarization curves. These curves are affected by many parameters related to the nonlinearities associated with the PEMFC electrochemical processes and the vital tools for simulation and evaluation of PEMFC. In this paper, Dragonfly
N.S. Hamal +4 more
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Optimal Solution for Reactive Power Dispatch Problem using Dragonfly Optimization Algorithm
2022 International Conference on Innovations in Science and Technology for Sustainable Development (ICISTSD), 2022V. Barkavi, N. Velammal, S. Jaisiva
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An Energy Optimization in WSN using Dragonfly Optimization Algorithm for IoT Applications
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023Deepa G +5 more
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