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Optimized model of microbial fuel cell using AI-driven walrus optimization algorithm. [PDF]
Almousa MT, Louzazni M.
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete. [PDF]
Onyelowe KC +8 more
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Robust multi-task feature selection with counterfactual explanation for schizophrenia identification using functional brain networks. [PDF]
Yuan X +7 more
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Optimizing methane flux prediction and key feature identification based on a novel hybrid machine learning model. [PDF]
Gu X, Yao L, Xiao X, Wu L, Yu H.
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Gray wolf optimization of photonics crossing waveguides
Nanoengineering: Fabrication, Properties, Optics, Thin Films, and Devices XVIII, 2021In this paper, the Gray Wolf (GWO) algorithm has been used to design and to optimize the geometrical parameters of broadband compact silicon on insulator waveguide crossing structure operating in the wavelength range of 1400–1600 nm. The electromagnetic numerical simulations of the waveguide crossing have been conducted by using an efficient frequency ...
Luana da França Vieira +2 more
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An Optimal Demand Response Strategy Using Gray Wolf Optimization
2021Demand response (DR) keeps up a significant contribution to the growth of electricity generation with transmission and distribution in the phase of advanced grid automation. For future smart grid, basically, two types of demand side management (DSM) strategies have been used with many shiftable or controllable loads.
Ankit Kumar Sharma +3 more
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System Reliability Optimization Using Gray Wolf Optimizer Algorithm
Quality and Reliability Engineering International, 2016For the past two decades, nature‐inspired optimization algorithms have gained enormous popularity among the researchers. On the other hand, complex system reliability optimization problems, which are nonlinear programming problems in nature, are proved to be non‐deterministic polynomial‐time hard (NP‐hard) from a computational point of view.
Anuj Kumar, Sangeeta Pant, Mangey Ram
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Gray Wolf Optimizer for hyperspectral band selection
Applied Soft Computing, 2016Graphical abstractDisplay Omitted HighlightsWe propose a new approach for feature selection in hyperspectral image classification.The problem of band selection is reformulated as a combinatorial problem.We design a new objective function which takes into account two term, the classification error rate and the class separability distance.To optimize the
S.A. Medjahed +3 more
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