Results 11 to 20 of about 2,736 (175)
Improved Dragonfly Optimization Algorithm for Detecting IoT Outlier Sensors
Future Internet, 2022 Things receive digital intelligence by being connected to the Internet and by adding sensors. With the use of real-time data and this intelligence, things may communicate with one another autonomously.
Maytham N. Meqdad +2 more
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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.
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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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Construction Algorithm of Completely Independent Spanning Tree in Dragonfly Network [PDF]
Jisuanji kexue, 2022 Dragonfly network,proposed by Kim et al.,is a topology for high-performance computer systems.In dragonfly network,compute nodes are attached to switches,the switches are organized into groups,and the network is organized as a two-level clique.There is a ...
BIAN Qing-rong, CHENG Bao-lei, FAN Jian-xi, PAN Zhi-yong
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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.
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A Survey on Dragonfly Algorithm and its Applications in Engineering [PDF]
Evolutionary Intelligence, 2020 <p></p><p></p><p>The dragonfly algorithm developed in 2016. It is one of the algorithms used by the researchers to optimize an extensive series of uses and applications in various areas. At times, it offers superior performance compared to the most well-known optimization techniques.
Chnoor M. Rahman +5 more
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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
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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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Dragonfly-Based Joint Delay/Energy LTE Downlink Scheduling Algorithm
IEEE Access, 2020 Managing radio resources in Long Term Evolution (LTE) networks is considered as one of the essential design factors for enhancing the overall system performance.
Heba Nashaat +3 more
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Four Algorithms on the Swapped Dragonfly
CoRR, 2022 The Swapped Dragonfly with M routers per group and K global ports per router is denoted D3(K;M) [1]. It has n=KMM routers and is a partially populated Dragonfly. A Swapped Dragonfly with K and M restricted is studied in this paper. There are four cases.
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