Hybrid optimization algorithm for solving path planning problems based on grey wolf optimization algorithm. [PDF]
Sci RepThe grey wolf optimization algorithm is a metaheuristic optimization algorithm based on the behavior of grey wolf groups in nature, which has the advantages of a simple concept and few adjustment parameters and is widely used in various fields.
Cheng G, Liu Y.
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A Virtual Force Algorithm-Lévy-Embedded Grey Wolf Optimization Algorithm for Wireless Sensor Network Coverage Optimization. [PDF]
Sensors (Basel), 2019 The random placement of a large-scale sensor network in an outdoor environment often causes low coverage. In order to effectively improve the coverage of a wireless sensor network in the monitoring area, a coverage optimization algorithm for wireless ...
Wang S, Yang X, Wang X, Qian Z.
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Oppositional based grey wolf optimization algorithm for economic dispatch problem of power system
Ain Shams Engineering Journal, 2018 This article proposes an efficient meta-heuristic approach, namely, oppositional grey wolf optimization (OGWO) algorithm for resolving the optimal operating strategy of economic load dispatch (ELD) problem.
Moumita Pradhan +2 more
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Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy. [PDF]
Sci Rep, 2022 The traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few parameters, and easy implementation.
Li K, Li S, Huang Z, Zhang M, Xu Z.
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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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Optimization design of car door structure considering aesthetics and safety. [PDF]
PLoS OneTo enhance the performance of multi-objective optimization algorithms in the optimization design of car door structures and comprehensively optimize the aesthetics and safety of car doors, an improved multi-objective grey wolf optimization algorithm is ...
Ning Y, Kim K.
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Mixed order single variable intuitionistic fuzzy time series forecasting method based on a new artificial neural network and grey wolf optimization algorithm. [PDF]
Sci RepThe ease of use of fuzzy time series methods and their success in forecasting performance have led to a rapid increase in research in this field. While classical fuzzy time series methods operate solely on membership values, intuitionistic fuzzy time ...
Cansu T, Bas E, Egrioglu E.
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Journal of Algorithms & Computational Technology, 2019 Aiming at the problem of wireless sensor network node coverage optimization with obstacles in the monitoring area, based on the grey wolf optimizer algorithm, this paper proposes an improved grey wolf optimizer (IGWO) algorithm to improve the ...
Zhendong Wang +5 more
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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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Applied Sciences, 2022 In order to improve the response characteristics of magnetorheological fluid brake (MRB) and reduce the braking fluctuation rate, an improved grey wolf optimization algorithm was proposed to adjust the parameters of the proportion integration ...
Lili Dai +5 more
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