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11 articles for “grey wolf optimization”
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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ATC Calculation in OPF Environment Using Hybrid Grey Wolf Optimizer and Particle Swarm Optimization
Abstract: Evolution of hybrid optimization provides new research direction in the real world problem solving by using more than one optimization techniques for obtaining speedy convergence and/or global optimal solution or solution near the global optimal. In this paper, a novel hybrid particle swarm optimization (PSO) and grey wolf optimizer (GWO) technique is used to calculate the available transfer capability in an optimal power flow environment. The proposed method has been …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 84–93 Read article
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Enhanced Deep Learning Techniques for Defect Detection in Steel-Fiber-Reinforced Composites: A Comparative Study of KerasTuner, CNN–PSO, and CNN–GWO
Abstract: The identification of microstructural defects in steel-fibre-reinforced composites is useful for the material integrity, mechanical reliability and longevity. Classic material inspection techniques face difficulties in recognizing the complex and visually similar defects because of heterogeneous material morphology, changing imaging conditions, and limits of manual feature extraction. To tackle those problems, this study presents a comparative deep-learning framework that integrates Convolutional Neural Networks (CNNs) with three hyperparameter optimization techniques namely KerasTuner, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 377–403 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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TZSBLC With Optimized PI Controller Design for Grid Tied PV Based Electric Vehicle
Abstract: Around the world, about 18% pre-mature births and 3.7 million losses of lives occur due to air pollution and 29% of it is contributed by the Internal Combustion Engine (ICE) based vehicles, which consumes fossil fuels for its functioning. Moreover, the increased demand for fossil fuels, as well as the growth in concerns regarding the environmentally friendly and zero-emission transportation, lead to the introduction of electric Vehicles (EVs). The increased …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 18–35 Read article
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A Hybrid Artificial Intelligence Approach for Defect Detection in Fiber-Reinforced Composite Steels
Abstract: Defect detection in fiber-reinforced composite materials is important for maintaining product quality and ensuring structural reliability. However, manual inspection can be time-consuming and may depend on the experience of the inspector. This study presents a hybrid Convolutional Neural Network–Grey Wolf Optimization (CNN–GWO) approach for automated detection and classification of defects in fiber-reinforced composite materials. The proposed approach combines CNN-based feature learning with GWO-based hyperparameter optimization to improve the selection of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 285–310 Read article
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A Review on Solar Multilevel Inverter for the Production of Free Energy Due to the Structure with Long-life Feature
Abstract: Multilevel inverters play a major role in medium voltage, high power and renewable applications. It is also used in certain applications where high switching frequency, and high output voltage gain are required. The switching transient period of a MOSFET should be minimal because a high dv/dt rate could result in permanent damage to the MOSFET. The harmonics present could cause many problems and so it has to be minimized. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 13–18 Read article
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Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
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An Intelligent Gray Wolf Optimizer: A Nature Inspired Technique in Intrusion Detection System (IDS)
Abstract: AbstractFeature choice algorithmic program investigates the knowledge to get rid of creaking, irrelevant, overabundance information, and everyone the while optimizes the classification performance. In this work, an intelligent grey wolf optimization (GWO) technique is used to select optimal feature subset for classification purposes. Grey wolf optimizer (GWO) is one of the most recent bio-enlivened optimization strategies, which impersonate the authority pecking order and chasing system of gray wolves in nature. …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 18–24 Read article
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Solution of Optimal Reactive Power Dispatch Problem Using a Novel Meta-heuristic Technique
Abstract: This paper presents the use of a recently developed algorithm inspired by the hunting mechanism of grey wolfs in nature, called grey wolf optimizer (GWO) algorithm for solving optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a complex optimization problem with nonlinear characteristic. The GWO is used to find the set of optimal control variables of ORPD problem, such as generators’ terminal voltage, position of tap changers …
Published in Trends in Electrical Engineering · Vol. 7, Issue 3, 2017 · pp. 8–16 Read article
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Boost Converter with Optimized Pi Controller Design for Grid Tied PV Based Electric Vehicle
Abstract: The growing demand of clean energy along with the depletion of fossil fuel usage have paved the way for electric vehicles (EV) to emerge as a significant alternative in automobile sector. Reduction of air pollution and reliance of fossil fuels thereby improving energy security are termed as the primary goals of EV. The adopting of EV facilitates emission free transportation and addresses the environmental crisis caused due to climatic changes …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 1–16 Read article