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A Spark-based Distributed Dragonfly Algorithm for Feature Selection
2020 15th International Conference on Computer Science & Education (ICCSE), 2020Dragonfly algorithm is an intelligent group optimization algorithm. In this paper, dragonfly algorithm is well used in the field of feature selection. However, dragonfly algorithm has the problem of falling into local optimal solution, which reduces the performance of feature selection and classification.
Hongwei Chen +5 more
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Dragonfly algorithm: a comprehensive survey of its results, variants, and applications
Multimedia Tools and Applications, 2021This paper thoroughly introduces a comprehensive review of the so-called Dragonfly algorithm (DA) and highlights its main characteristics. DA is considered one of the promising swarm optimization algorithms because it successfully applied in a wide range of optimization problems in several fields, such as engineering design, medical applications, image
Mohammad Alshinwan +6 more
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A hybrid dragonfly algorithm with extreme learning machine for prediction
2016 International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), 2016In this work, a proposed hybrid dragonfly algorithm (DA) with extreme learning machine (ELM) system for prediction problem is presented. ELM model is considered a promising method for data regression and classification problems. It has fast training advantage, but it always requires a huge number of nodes in the hidden layer.
Mustafa Abdul Salam +4 more
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AMLR: An Adaptive Multi-Level Routing Algorithm for Dragonfly Network
IEEE Communications Letters, 2021High-radix hierarchical structures, such as the dragonfly, fat-tree, and torus, are cost-effective topologies for high-performance computer (HPC) networks. In these networks, dragonfly outperforms traditional topologies such as fat-tree and torus in cost and scalability.
Lijing Zhu +3 more
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A Dragonfly Algorithm for Solving Traveling Salesman Problem
2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2018Traveling Salesman Problem (TSP) is considered as nondeterministic polynomial time hard problem. In the TSP, a salesman should visit a set of cities, and the distances between all pairs of cities are known in advance. The salesman has to find the shortest tour for visiting all cities exactly once and returns back to the starting city.
Abdelaziz I. Hammouri +5 more
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Unique Dragonfly Optimization Algorithm for Harvesting and Clustering the Key Features
2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2019In many applications, the feature selection plays an important role, as best feature can bring out the accurate results. The features selected must represent the entire dataset. Here we have considered “Sequential Forward Selection” for feature extraction and used refined dragonfly algorithm to approach and to migrate from the best and worst features ...
Nagaraju Devarakonda +3 more
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Dragonfly Algorithm for solving probabilistic Economic Load Dispatch problems
Neural Computing and Applications, 2019Economic Load Dispatch problem in power system is solved by different methods to run the generating station in an economic way for different loading conditions. A combination of thermal power plant and renewable plant of wind and solar photovoltaic is considered for optimal solution at minimal cost using Dragonfly Algorithm.
Diptanu Das +2 more
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QVal: A Novel Routing Algorithm for Dragonfly Networks
2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2023Javier Navaridas, Jose Antonio Pascual
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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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QoS Multicast Routing Based on a Quantum Chaotic Dragonfly Algorithm
2018Optimizing the quality of service in a multicast routing is a persistent research problem for data transmission in computer networks. It is known to be an NP-hard problem, so several meta-heuristics are applied for an approximate resolution. In this paper, we resolve the quality of service multicast routing problem (QoSMRP) with using a combined ...
Mohammed Mahseur +2 more
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