Results 21 to 30 of about 39,754 (281)
Mathematical and Computational Applications, 2018 The quest for an efficient nature-inspired optimization technique has continued over the last few decades. In this paper, a hybrid nature-inspired optimization technique has been proposed.
Narinder Singh, Hanaa Hachimi
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An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems [PDF]
Scientific ReportsThis research article introduces a hybrid optimization algorithm, referred to as Grey Wolf Optimizer-Teaching Learning Based Optimization (GWO-TLBO), which extends the Grey Wolf Optimizer (GWO) by integrating it with Teaching-Learning-Based Optimization (
Harleenpal Singh +6 more
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MBB-MOGWO: Modified Boltzmann-Based Multi-Objective Grey Wolf Optimizer [PDF]
SensorsThe primary objective of multi-objective optimization techniques is to identify optimal solutions within the context of conflicting objective functions.
Jing Liu +3 more
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, 2021 With the transformation of transmission and distribution grids into smart grids that are more dominated by renewable energy, power electronics-based inverters that can improve power quality are becoming more visible.
Mirjalili, S, Neshat, M, Ceylan, O
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An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning
IEEE Access, 2021 Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the disadvantages of slow convergence speed and easy to fall into local optimum on some problems.
Jingyi Liu, Xiuxi Wei, Huajuan Huang
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IEEE Access, 2020 Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking.
M. W. Guo +4 more
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Frontiers in Earth Science, 2023 Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast the displacements of hydropower ...
Peng He, Wenjing Wu
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Multi-Objective Grey Wolf Optimizer Algorithm for Task Scheduling in Cloud-Fog Computing
IEEE Access, 2023 The revolution of IoT and its capabilities to serve various fields led to generating a large amount of data for processing. Tasks that require an instant response, especially with sensitive delay tasks send to the fog node due to the close distance, and ...
Faten A. Saif +3 more
semanticscholar +1 more source
A novel approach for power system stabilizer control parameter selection: a case-study on two-area four-machine system [PDF]
Archives of Electrical Engineering, 2022 This paper proposes a power system stabilizer (PSS) with optimal controller parameters for damping low-frequency power oscillations in the power system. A novel meta-heuristic, weighted grey wolf optimizer (WGWO) has been proposed, it is a variant of the
Murali Krishna Gude, Umme Salma Salma
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Hybrid Grey Wolf Optimizer Based Optimal Capacitor Placement in Radial Distribution Systems
, 2022 The problem of optimal capacitor placement (OCP), or the determination of both the optimal bus locations and sizes in radial distribution systems (RDS) has been solved in this article using a new metaheuristic algorithm named as the hybrid grey wolf ...
Mirjalili, S +5 more
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