Results 231 to 240 of about 52,757 (270)

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

Boolean Binary Grey Wolf Optimizer

2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
Rodrigo Cesar Lira, Mariana Macedo, Hugo Valadares Siqueira, Carmelo Bastos-Filho   +3 more
openaire   +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

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

Empirical Study of Grey Wolf Optimizer

2016
In this paper, the authors empirically investigate performance of the grey wolf optimizer (GWO). A test suite of six non-linear benchmark functions, well studied in the swarm and the evolutionary optimization literature, is selected to highlight the findings. The test suite contains three unimodal and three multimodal functions.
null Avadh Kishor, Pramod Kumar Singh
openaire   +1 more source

Density Peak Clustering Using Grey Wolf Optimization Approach

Journal of Classification
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
null Preeti, Kusum Deep
openaire   +1 more source

An improved grey wolf optimizer for solving engineering problems

Expert Systems With Applications, 2021
Mohammad H Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili   +2 more
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