A new approach to reduce energy consumption in priority live migration of services based on green cloud computing

Cluster Computing, Год журнала: 2025, Номер 28(3)

Опубликована: Янв. 22, 2025

Язык: Английский

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The use of machine learning algorithms to determine the rate of material deformation: a new approach

International Journal on Interactive Design and Manufacturing (IJIDeM), Год журнала: 2025, Номер unknown

Опубликована: Янв. 21, 2025

Язык: Английский

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Golden jackal optimization algorithm with a population quality improvement framework for real-world engineering optimization problems

Evolutionary Intelligence, Год журнала: 2025, Номер 18(3)

Опубликована: Апрель 6, 2025

Язык: Английский

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CGJO: a novel complex-valued encoding golden jackal optimization

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 23, 2024

Golden jackal optimization (GJO) is inspired by mundane characteristics and collaborative hunting behaviour, which mimics foraging, trespassing encompassing, capturing prey to refresh a jackal's position. However, the GJO has several limitations, such as slow convergence rate, low computational accuracy, premature convergence, poor solution efficiency, weak exploration exploitation. To enhance global detection ability this paper proposes novel complex-valued encoding golden (CGJO) achieve function engineering design. The strategy deploys dual-diploid organization encode real imaginary portions of converts dual-dimensional region single-dimensional manifestation region, increases population diversity, restricts search stagnation, expands area, promotes information exchange, fosters collaboration efficiency improves accuracy. CGJO not only exhibits strong adaptability robustness supplementary advantages but also balances local exploitation promote precision determine best solution. CEC 2022 test suite six real-world designs are utilized evaluate effectiveness feasibility CGJO. compared with three categories existing algorithms: (1) WO, HO, NRBO BKA recently published algorithms; (2) SCSO, GJO, RGJO SGJO highly cited (3) L-SHADE, LSHADE-EpsSin CMA-ES performing algorithms. experimental results reveal that superior those other superiority reliability quicker greater computation precision, stability robustness.

Язык: Английский

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QSAR modelling of enzyme inhibition toxicity of ionic liquid based on chaotic spotted hyena optimization algorithm

SAR and QSAR in environmental research, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Сен. 30, 2024

Ionic liquids (ILs) have attracted considerable interest due to their unique properties and prospective uses in various industries. However, potential toxicity, particularly regarding enzyme inhibition, has become a growing concern. In this study, QSAR model was proposed predict the inhibition toxicity of ILs. A dataset diverse ILs with corresponding data against three enzymes compiled. Molecular descriptors that capture physicochemical, structural, topological were calculated. To optimize selection develop robust model, chaotic spotted hyena optimization algorithm, novel nature-inspired metaheuristic, employed. The algorithm efficiently searches for an optimal subset parameters, enhancing predictive performance interpretability model. developed exhibits excellent capability, high classification accuracy low computation time. Sensitivity analysis molecular interpretation selected provide insights into critical structural features influencing This study showcases successful application modelling contributes better understanding mechanisms ILs, aiding design safer alternatives industrial applications.

Язык: Английский

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Location-aware job scheduling for IoT systems using cloud and fog

Alexandria Engineering Journal, Год журнала: 2024, Номер 110, С. 346 - 362

Опубликована: Окт. 11, 2024

Язык: Английский

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Resource optimization in smart electronic health systems using IoT for heart disease prediction via feedforward neural networks

Cluster Computing, Год журнала: 2024, Номер 28(1)

Опубликована: Окт. 21, 2024

Язык: Английский

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Presenting a hybrid method for fault tolerance based on neural fuzzy logic in distribution networks using phasor measurement units

Journal of Ambient Intelligence and Humanized Computing, Год журнала: 2024, Номер 15(12), С. 4009 - 4021

Опубликована: Окт. 8, 2024

Язык: Английский

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Improvement of intrusion detection system in industrial Internet of Things based on deep learning with fog computing capability

Electronic Commerce Research, Год журнала: 2024, Номер unknown

Опубликована: Дек. 3, 2024

Язык: Английский

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