Results 271 to 280 of about 46,935 (324)

Grey Wolf Optimization (GWO) Algorithm

2017
This 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, Omid Bozorg-Haddad, Xuefeng Chu   +2 more
openaire   +1 more source

β-Hill Climbing Grey Wolf Optimizer

2021
The 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
openaire   +1 more source

Prey Phase based Grey Wolf Optimizer

2018 Conference on Information and Communication Technology (CICT), 2018
Grey 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, K. V. Arya, Shyam Singh Rajput   +2 more
openaire   +1 more source

Fully Informed Grey Wolf Optimizer Algorithm

2020
Grey 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, Harish Sharma, Nirmala Sharma   +2 more
openaire   +1 more source

Neural Network-based control using Actor-Critic Reinforcement Learning and Grey Wolf Optimizer with experimental servo system validation

Expert systems with applications, 2023
Iuliu Alexandru Zamfirache, Radu-Emil Precup, Raul-Cristian Roman, E. Petriu   +3 more
semanticscholar   +1 more source

An enhanced grey wolf optimizer for numerical optimization

2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017
Grey 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, Rohit Salgotra, Urvinder Singh   +2 more
openaire   +1 more source

ANNEALED GREY WOLF OPTIMIZATION

Advances in Mathematics: Scientific Journal, 2020
S. Bahuguna, A. Pal
openaire   +1 more source

Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential

Artificial Intelligence Review, 2022
Jian Zhou, Shuai Huang, Tao Zhou, D. J. Armaghani, Y. Qiu   +4 more
semanticscholar   +1 more source

An Optimized Grey Wolf Algorithm

2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control ( SDPC), 2022
Die Zeng, Liwan Chen, Shangfei Zhao, Jun Ou, Hao Yuan, Tianwen Wu   +5 more
openaire   +1 more source

Ehnanced Grey Wolf Optimizer

2023
Radka Poláková, Daniel Valenta
openaire   +1 more source