Firefly algorithm
View article: Chaotic grey wolf optimization algorithm for constrained optimization problems
Chaotic grey wolf optimization algorithm for constrained optimization problems Open
The Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from the social hunting behavior of grey wolves. This paper introduces the chaos theory into the GWO algorithm with the aim of accelerating its global convergence …
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A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU Open
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 e…
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Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran Open
Evaporation accounts for varying shares of water balance under different climatic conditions, and its correct prediction poses a significant challenge before water resources management in watersheds. Given the complex and nonlinear behavio…
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Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model Open
Diabetic Retinopathy is a major cause of vision loss and blindness affecting millions of people across the globe. Although there are established screening methods - fluorescein angiography and optical coherence tomography for detection of …
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A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms Open
The network intrusion detection system (NIDS) aims to identify virulent action in a network. It aims to do that through investigating the traffic network behavior. The approaches of data mining and machine learning (ML) are extensively use…
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Application of AI techniques and robotics in agriculture: A review Open
The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL), artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO), artificial potential field (APF), simulated annealing (SA), …
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Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization Open
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 orig…
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Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors Open
The factors affecting the shear strength of the angle shear connectors in the steel-concrete composite beams can play an important role to estimate the efficacy of a composite beam. Therefore, the current study has aimed to verify the outp…
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A Novel Hybrid Firefly Algorithm for Global Optimization Open
Global optimization is challenging to solve due to its nonlinearity and multimodality. Traditional algorithms such as the gradient-based methods often struggle to deal with such problems and one of the current trends is to use metaheuristi…
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Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics Open
Computer vision is one of the most frontier technologies in computer science. It is used to build artificial systems to extract valuable information from images and has a broad range of applications in various areas such as agriculture, bu…
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MbGWO-SFS: Modified Binary Grey Wolf Optimizer Based on Stochastic Fractal Search for Feature Selection Open
Grey Wolf Optimizer (GWO) simulates the grey wolves’ nature in leadership and hunting manners. GWO showed a good performance in the literature as a meta-heuristic algorithm for feature selection problems, however, it shows low precision an…
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Firefly Algorithm based Feature Selection for Arabic Text Classification Open
Due to the large number of documents available in the internet, emails and digital libraries, document classification is becoming a crucial task extremely required. It is commonly achieved after performing feature selection that consists o…
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Intelligent facial emotion recognition using moth-firefly optimization Open
In this research, we propose a facial expression recognition system with a variant of evolutionary firefly algorithm for feature optimization. First of all, a modified Local Binary Pattern descriptor is proposed to produce an initial discr…
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Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection Open
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. Naturally, …
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Performance of Elephant Herding Optimization and Tree Growth Algorithm Adapted for Node Localization in Wireless Sensor Networks Open
Wireless sensor networks, as an emerging paradigm of networking and computing, have applications in diverse fields such as medicine, military, environmental control, climate forecasting, surveillance, etc. For successfully tackling the nod…
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Time Difference of Arrival (TDoA) Localization Combining Weighted Least Squares and Firefly Algorithm Open
Time difference of arrival (TDoA) based on a group of sensor nodes with known locations has been widely used to locate targets. Two-step weighted least squares (TSWLS), constrained weighted least squares (CWLS), and Newton–Raphson (NR) ite…
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Optimal sizing and energy scheduling of isolated microgrid considering the battery lifetime degradation Open
The incessantly growing demand for electricity in today's world claims an efficient and reliable system of energy supply. Distributed energy resources such as diesel generators, wind energy and solar energy can be combined within a microgr…
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Metaheuristic Algorithm for Photovoltaic Parameters: Comparative Study and Prediction with a Firefly Algorithm Open
In this paper, a Firefly algorithm is proposed for identification and comparative study of five, seven and eight parameters of a single and double diode solar cell and photovoltaic module under different solar irradiation and temperature. …
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Salp Swarm Algorithm for Node Localization in Wireless Sensor Networks Open
Nodes localization in a wireless sensor network (WSN) aims for calculating the coordinates of unknown nodes with the assist of known nodes. The performance of a WSN can be greatly affected by the localization accuracy. In this paper, a nod…
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Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detection Open
A Wireless Sensor Network (WSN) aided by the Internet of Things (IoT) is a collaborative system of WSN systems and IoT networks are work to exchange, gather, and handle data. The primary objective of this collaboration is to enhance data a…
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Multi-Objective Optimization of an Islanded Green Energy System Utilizing Sophisticated Hybrid Metaheuristic Approach Open
Responding to the global call for sustainable renewable energy sources amidst growing energy demands, exhaustion of fossil fuels, and increasing greenhouse gas emissions, this study introduces a multi-objective optimization of an islanded …
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Innovative Feature Selection Method Based on Hybrid Sine Cosine and Dipper Throated Optimization Algorithms Open
Introduction: In pattern recognition and data mining, feature selection is one of the most crucial tasks. To increase the efficacy of classification algorithms, it is necessary to identify the most relevant subset of features in a given do…
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Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms Open
The imaging modalities are used to view other organs and analyze different tissues in the body. In such imaging modalities, a new and developing imaging technique is hyperspectral imaging. This multicolour representation of tissues helps u…
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Experimental implementation of Flower Pollination Algorithm for speed controller of a BLDC motor Open
The design of a good PID controller for speed control of Brushless dc (BLDC) motor is essential for its successful operation. This paper presents a design and implementation of recently developed nature inspired Flower Pollination Algorith…
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Hybrid Genetic Firefly Algorithm-Based Routing Protocol for VANETs Open
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. Intelligent trans…
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Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification Open
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. One of the g…
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Firefly algorithm for congestion management in deregulated environment Open
In competitive electricity market, congestion is a serious economic and reliability concern. Congestion is a common problem that an independent system operator faces in open access electricity market. This paper presents a reliable and eff…
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Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning Open
Rapid developments in Internet of Things (IoT) systems have led to a wide integration of such systems into everyday life. Systems for active real-time monitoring are especially useful in areas where rapid action can have a significant impa…
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Sizing and Cost Minimization of Standalone Hybrid WT/PV/Biomass/Pump-Hydro Storage-Based Energy Systems Open
In this study, a standalone hybrid wind turbine (WT)/photovoltaic (PV)/biomass/pump-hydro-storage energy system was designed and optimized based on technical, economic, and environmental parameters to provide the load demand with an object…
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Improved Firefly Algorithm for the Optimal Coordination of Directional Overcurrent Relays Open
In an electrical power network linear and non-linear models are used for directional overcurrent relay (DOCR) coordination issue by applying different heuristic techniques. Nature inspired algorithms (NIA) have found great interest in powe…