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Howling mechanism based grey wolf optimizer
2017 International Conference on Computer, Communications and Electronics (Comptelix), 2017Grey wolf optimizer (GWO) is an efficient optimization approach in the generation of swarm intelligence based techniques. GWO algorithm relies on the leadership quality and hunting mechanism shown by grey wolves. Half of the iteration in GWO are dedicated to exploration and the rest half are used for exploitation.
Chitra Dadhich +2 more
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Levy inspired Enhanced Grey Wolf Optimizer
2019 Fifth International Conference on Image Information Processing (ICIIP), 2019Grey Wolf Algorithm is a recently established efficient optimization algorithm stimulated by the pursuing technique of the grey wolves. In GWO, the next location of the search individuals is modified with respect to the leading wolves. Since in GWO, all the individuals are moving towards the leading wolves and leading wolves often stick to some local ...
Suhani Kohli +3 more
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Grey Wolf Optimization (GWO) Algorithm
2017This chapter describes the grey wolf optimization (GWO) algorithm as one of the new meta-heuristic algorithms. First, a brief literature review is presented and then the natural process of the GWO algorithm is described. Also, the optimization process and a pseudo code of the GWO algorithm are presented in this chapter.
Hossein Rezaei +2 more
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β-Hill Climbing Grey Wolf Optimizer
2021The grey wolf optimizer (GWO) is a promising neoteric algorithm for the optimization of swarm intellect and it draws inspiration from the power structure of Canis lupus wolves. There may be some downsides to the current grey wolf optimization algorithm, like slow convergence speed, low precision, and so forth.
Saniya Bahuguna, Ashok Pal
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Prey Phase based Grey Wolf Optimizer
2018 Conference on Information and Communication Technology (CICT), 2018Grey wolf optimizer (GWO) algorithm is a newly proposed swarm-intelligence based algorithm. GWO is used to solve various complex optimization issues in distinct fields. Several researchers have endeavored to increase GWO performance by implementing some modifications. This work aims to introduce a prey phase in GWO to enhance exploration in the initial
Vijay Kumar Bohat +2 more
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Fully Informed Grey Wolf Optimizer Algorithm
2020Grey wolf optimizer (GWO) is a newly generated metaheuristic search algorithm inspired by the social behaviour of the grey wolf, which resembles the social structure and hunting mechanism of grey wolves in nature, and is based on three main steps: searching for prey, encircling prey and attacking prey. This paper presents a new variant of GWO algorithm
Priyanka Meiwal +2 more
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Boolean Binary Grey Wolf Optimizer
2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022Rodrigo Cesar Lira +3 more
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An enhanced grey wolf optimizer for numerical optimization
2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017Grey wolf optimization (GWO) algorithm is a recent addition to the field of swarm intelligent algorithms. The algorithm is based on the hunting pattern and leadership quality of grey wolfs present in nature. In this paper, to improve the working capabilities of GWO, a new version of GWO namely enhanced GWO (EGWO) has been proposed. The proposed version
Sakshi Sharma +2 more
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ANNEALED GREY WOLF OPTIMIZATION
Advances in Mathematics: Scientific Journal, 2020S. Bahuguna, A. Pal
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An Optimized Grey Wolf Algorithm
2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control ( SDPC), 2022Die Zeng +5 more
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