Results 21 to 30 of about 46,935 (324)
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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IEEE Access, 2021 Conventional fuzzy clustering algorithms present several disadvantages with respect to image segmentation, including a tendency to arrive at local optima and a relatively high sensitivity to noise and initial cluster centers.
Xiangxiao Lei, Honglin Ouyang
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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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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
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
doaj +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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Applied Soft Computing, 2021 Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant impact on the efficiency of wind power generation systems.
Aytaç Altan, S. Karasu, E. Zio
semanticscholar +1 more source
A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm
Sensors, 2020 Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). Fireworks algorithm (FWA) is a nature-inspired optimization method mimicking the explosion process of fireworks for optimization problems ...
Zhihang Yue, Sen Zhang, Wendong Xiao
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S-shaped grey wolf optimizer-based FOX algorithm for feature selection [PDF]
HeliyonAfi Kekeli Feda +5 more
semanticscholar +2 more sources