Results 151 to 160 of about 1,991 (196)
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Wind driven dragonfly algorithm for global optimization
Concurrency and Computation: Practice and Experience, 2020SummaryDragonfly algorithm (DA) is a new swarm intelligence optimization algorithm based on the static and dynamic swarm behavior of dragonflies. The algorithm has the characteristics of simple structure, strong search ability, easy implementation, and strong robustness.
Lianlian Zhong +3 more
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Memory based Hybrid Dragonfly Algorithm for numerical optimization problems
Expert Systems With Applications, 2017A novel hybrid algorithm (MHDA) based on Dragon Fly and PSO is proposed.Performance is tested using standard benchmark problems.Proposed algorithm is compared with well-known optimization algorithms.Statistical analysis is done using Friedmans test and Wilcoxon signed ranksum test.Superiority of MHDA is also proved by applying on engineering design ...
Sree Ranjini K. S., S. Murugan
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A Modified Dragonfly Algorithm for Real Parameter Function Optimization
Advances in Intelligent Systems and Computing, 2020In this article, our aim is to suggest an algorithm which optimizes the real parameter function. We improve the performance of normal dragonfly algorithm, which is a swarm intelligence algorithm, by incorporating opposition-based learning with some alternation.
Setua S K
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Quantum-like mutation-induced dragonfly-inspired optimization approach
Mathematics and Computers in Simulation, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Caiyang Yu +7 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 –
Ravindra Sadashivrao Apare +1 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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A novel digital watermarking scheme using dragonfly optimizer in transform domain
Computers & Electrical Engineering, 2021Abstract In today’s technologically-wise advanced environment, it is very significant for the entrepreneurs and business people to secure or protect the digital content. Their digital content can be protected legally using the copyright information such as copyrights embedded into the data. Bio-inspired computing algorithms will help find the optimal
Ayesha Shaik, V. Masilamani
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Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2023
Cloud infrastructure provides a real time computing environment to customers and had wide applicability in healthcare, medical facilities, business, and several other areas. Most of the health data recorded and saved on the cloud. But the cloud infrastructure is configured using several components and that makes it a complex structure.
Monika Saini +3 more
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Cloud infrastructure provides a real time computing environment to customers and had wide applicability in healthcare, medical facilities, business, and several other areas. Most of the health data recorded and saved on the cloud. But the cloud infrastructure is configured using several components and that makes it a complex structure.
Monika Saini +3 more
openaire +1 more source
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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Modified Dragonfly Algorithm for Optimal Virtual Machine Placement in Cloud Computing
Journal of Network and Systems Management, 2020The ease and affordability offered by the cloud computing has attracted large number of customers towards it. Cloud service providers offer its services, to the cloud customers, usually in form of Virtual Machines (VMs). With the growth in the number of customers, cloud data centers encounter overwhelming number of VM requests.
Atul Tripathi +2 more
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