Results 51 to 60 of about 6,723 (242)
Jordanian Journal of Computers and Information Technology, 2021 The Grey Wolf Optimizer (GWO) is a very recently developed and emerging swarm-intelligent algorithm. The GWO algorithm was inspired by the social dominance hierarchy and hunting strategy of the grey wolves that has been successfully tailored to tackle ...
Alok Kumar, Lekhraj, Anoj Kumar
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Multi-objective Economic Emission Load Dispatch using Grey Wolf Optimization [PDF]
, 2016 This paper presents grey wolf optimization method for solving multi-objective economic emission load dispatch (EELD) problem in diverse test power systems. Grey Wolf Optimization (GWO) is a new meta-heuristic motivated from grey wolf.
Chopra, N. (Nitish) +2 more
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Journal of Soft Computing in Civil Engineering, 2022 Although the exploitation of GWO advances sharply, it has limitations for continuous implementing exploration. On the other hand, the EHO algorithm easily has shown its capability to prevent local optima. For hybridization and by considering the advantages of GWO and the abilities of EHO, it would be impressive to combine these two algorithms.
Hoseini, Zaynab +3 more
openaire +2 more sources
An Improved Grey Wolf Optimizer and Its Application in Robot Path Planning
Biomimetics, 2023 This paper discusses a hybrid grey wolf optimizer utilizing a clone selection algorithm (pGWO-CSA) to overcome the disadvantages of a standard grey wolf optimizer (GWO), such as slow convergence speed, low accuracy in the single-peak function, and easily
Yun Ou, Pengfei Yin, Liping Mo
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Optimum Network Reconfiguration using Grey Wolf Optimizer [PDF]
, 2018 The objective of this paper is to determine an optimal network reconfiguration that presents the minimum losses considering network constraints using Grey Wolf Optimizer (GWO) algorithm.
Arif, Salem +3 more
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Journal of Applied Mathematics, 2017 A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).
Narinder Singh, S. B. Singh
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IEEE Access, 2019 This paper focuses on improving thermal efficiency and reducing unburned carbon in fly ash by optimizing operating parameters via a novel high-efficient swarm intelligence optimization algorithm (grey wolf optimizer algorithm, GWO) for coal-fired boiler.
Yiding Zhao +6 more
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SN Applied Sciences, 2022 Article Highlights 1. Grey Wolf Optimizer (GWO) is applied to optimize the stochastic resonance model resolution parameters. Compared with Cuckoo Search optimization algorithms, GWO gains the advantages of fast convergence speed and high calculation ...
Zhenya Quan, Xueliang Zhang
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An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism
Mathematics, 2022 This paper proposes a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wolf Optimizer (VAGWO). The original GWO lacks a velocity term in its position-updating procedure, and this is the main factor weakening the ...
Farshad Rezaei +5 more
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A Fractional Order Control Strategy for LFC via Big Bang Big Crunch & Grey Wolf Optimization Algorithms [PDF]
E3S Web of Conferences, 2020 The Grey Wolf Optimization (GWO) is well known meta-heuristic algorithm and has been previously used for optimization of various conventional PID and FOPID controllers.
Padhan Dola Gobinda +2 more
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