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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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Optimal Design of IIR Filter Using Dragonfly Algorithm
2018The field of infinite impulse response (IIR) filter design mainly focused on the proper selection of filter parameters from the numerous possible combination. This filter design problem is based on determining the optimal set of parameters for unknown model such that its closely matches with the parameters of the benchmark filter. Many researchers have
Sandeep Singh +4 more
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Clustering algorithm for internet of vehicles (IoV) based on dragonfly optimizer (CAVDO)
The Journal of Supercomputing, 2018Internet of vehicles (IoV) is a branch of the internet of things (IoT) which is used for communication among vehicles. As vehicular nodes are considered always in motion, hence it causes the frequent changes in the topology. These changes cause major issues in IoV like scalability, dynamic topology changes, and shortest path for routing.
Farhan Aadil +5 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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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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Dragonfly optimization and constraint measure-based load balancing in cloud computing
Cluster Computing, 2017Load balancing is the significant task in the cloud computing because the cloud servers need to store avast amount of information which increases the load on the servers. The objective of the load balancing technique is that it maintains a trade-off on servers by distributing equal load with less power.
Vijayakumar Polepally +1 more
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Optimizing Neural Networks using Dragonfly Algorithm for Medical Prediction
2018 8th International Conference on Computer Science and Information Technology (CSIT), 2018As the early diagnoses helps in curing most diseases or in making them more bearable, it increases the need to build a good prediction model. Artificial Neural Network (ANN) is one of the evolutionary computation techniques that can be used as a prediction model for new data records.
Mais Yasen, Nailah Al-Madi, Nadim Obeid
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DRAM: Dragonfly Routing Algorithm on Multi-objects by Optimal Thresholds
2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2021Yihuan Qian +5 more
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Applying Dragonfly Algorithm for Feature Selection Optimizing in Machine Learning Classification
2023 16th International Conference on Developments in eSystems Engineering (DeSE), 2023Zaid Tariq Raouf, Dhafar Hamed Abd
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