Results 11 to 20 of about 112,606 (291)

FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization [PDF]

open access: yesIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023
Spiking neural networks (SNNs) have been widely used due to their strong biological interpretability and high-energy efficiency. With the introduction of the backpropagation algorithm and surrogate gradient, the structure of SNNs has become more complex,
Jindong Li   +4 more
semanticscholar   +1 more source

Optimal Coordination of Directional Overcurrent Relays Using Hybrid Firefly–Genetic Algorithm

open access: yesEnergies, 2023
The application of directional overcurrent relays (DOCRs) plays an important role in protecting power systems and ensuring their safe, reliable, and efficient operation.
Tareq Foqha   +6 more
semanticscholar   +1 more source

Firefly Algorithms for Multimodal Optimization [PDF]

open access: yesSymposium on Stochastic Algorithms: Foundations and Applications, 2009
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications.
Xin-She Yang
semanticscholar   +1 more source

Modified firefly algorithm for workflow scheduling in cloud-edge environment

open access: yesNeural computing & applications (Print), 2022
Edge computing is a novel technology, which is closely related to the concept of Internet of Things. This technology brings computing resources closer to the location where they are consumed by end-users—to the edge of the cloud.
Nebojša Bačanin   +4 more
semanticscholar   +1 more source

Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection

open access: yesMathematics, 2022
Recent advances in online payment technologies combined with the impact of the COVID-19 global pandemic has led to a significant escalation in the number of online transactions and credit card payments being executed every day.
Dijana Jovanovic   +5 more
semanticscholar   +1 more source

Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

open access: yesMathematics, 2021
Swarm intelligence techniques have been created to respond to theoretical and practical global optimization problems. This paper puts forward an enhanced version of the firefly algorithm that corrects the acknowledged drawbacks of the original method, by
Nebojša Bačanin   +5 more
semanticscholar   +1 more source

Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification

open access: yesPeerJ Computer Science, 2022
The research proposed in this article presents a novel improved version of the widely adopted firefly algorithm and its application for tuning and optimising XGBoost classifier hyper-parameters for network intrusion detection.
M. Zivkovic   +5 more
semanticscholar   +1 more source

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

open access: yesElectronics, 2020
The enormous popularity of the internet across all spheres of human life has introduced various risks of malicious attacks in the network. The activities performed over the network could be effortlessly proliferated, which has led to the emergence of ...
S. Bhattacharya   +7 more
semanticscholar   +1 more source

Interpolation of Dense and Sparse Rational Functions and other Improvements in FireFly [PDF]

open access: yesComputer Physics Communications, 2020
We present the main improvements and new features in version $\texttt{2.0}$ of the open-source $\texttt{C++}$ library $\texttt{FireFly}$ for the interpolation of rational functions. This includes algorithmic improvements, e.g.
J. Klappert, Sven Klein, Fabian Lange
semanticscholar   +1 more source

Hybrid Genetic Firefly Algorithm-Based Routing Protocol for VANETs

open access: yesIEEE Access, 2022
Vehicular Adhoc Networks (VANETs) are used for efficient communication among the vehicles to vehicle (V2V) infrastructure. Currently, VANETs are facing node management, security, and routing problems in V2V communication.
Gagangeet Singh   +5 more
semanticscholar   +1 more source

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