Results 11 to 20 of about 71,855 (286)
A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm [PDF]
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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A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm [PDF]
Algorithms, 2015 Grey wolf optimization (GWO) is one of the recently proposed heuristic algorithms imitating the leadership hierarchy and hunting mechanism of grey wolves in nature. The aim of these algorithms is to perform global optimization.
Qifang Luo +3 more
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Grey Wolf Algorithm-Based Clustering Technique
Journal of Intelligent Systems, 2017 The main problem of classical clustering technique is that it is easily trapped in the local optima. An attempt has been made to solve this problem by proposing the grey wolf algorithm (GWA)-based clustering technique, called GWA clustering (GWAC ...
Kumar Vijay +2 more
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A Novel Dynamic Generalized Opposition-Based Grey Wolf Optimization Algorithm [PDF]
Algorithms, 2018 To enhance the convergence speed and calculation precision of the grey wolf optimization algorithm (GWO), this paper proposes a dynamic generalized opposition-based grey wolf optimization algorithm (DOGWO). A dynamic generalized opposition-based learning
Yanzhen Xing, Donghui Wang, Leiou Wang
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Improved grey wolf optimisation algorithms [PDF]
The Journal of Engineering, 2020 The grey wolf optimisation (GWO) algorithm has fewer numbers of variables and appears quite simple with outstanding capabilities in solving the problems, which are used to describe mathematically what human met in nature. However, it still has its capability to be improved in the convergence ratio, stability, and reduce the errors.
Zheng‐ming Gao +2 more
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An Improved Chaotic Grey Wolf Optimization Algorithm (CGWO)
International Journal on Recent and Innovation Trends in Computing and Communication, 2023 Grey Wolf Optimization (GWO) is a new type of swarm-based technique for dealing with realistic engineering design constraints and unconstrained problems in the field of metaheuristic research. Swarm-based techniques are a type of population-based algorithm inspired by nature that can produce low-cost, quick, and dependable solutions to a wider variety ...
Ramana Ramana +5 more
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Improved Grey Wolf Optimization Algorithm and Application
Sensors, 2022 This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in the path planning for mobile robots. We improved chaotic tent mapping to initialize the wolves to enhance the global search ability and used a ...
Yuxiang Hou +3 more
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Grey Wolf Optimization Algorithm: A Survey
Iraqi Journal of Science, 2023 The Gray Wolf Optimizer (GWO) is a population-based meta-heuristic algorithm that belongs to the family of swarm intelligence algorithms inspired by the social behavior of gray wolves, in particular the social hierarchy and hunting mechanism. Because of its simplicity, flexibility, and few parameters to be tuned, it has been applied to a wide ...
Mohammed H. Hashem +2 more
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Improved grey wolf algorithm for optimization problems
Indonesian Journal of Electrical Engineering and Computer Science, 2021 The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many optimization problems and give better solution as compare to other algorithms. However, due to its poor exploration capability, it has imbalance relation between exploration and exploitation.
Hafiz Maaz Asgher +3 more
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EaGWO: Extended algorithm of Grey Wolf Optimizer
Journal of Physics: Conference Series, 2021 Abstract The Grey Wolf Optimizer (GWO) and their very recent improved algorithms have some limitations such as stagnation in local optima, slow convergence rate, and so forth. In order to overcome these limitations, we have proposed an algorithm of GWO, named Extended algorithm of GWO (EaGWO), that modifies the hunting equation and ...
Alok Kumar +3 more
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