Results 171 to 180 of about 4,354 (214)

R-GWO: Representative-based grey wolf optimizer for solving engineering problems

Applied Soft Computing Journal, 2021
Abstract The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a sufficient performance for solving various optimization problems. However, it suffers from low exploration and population diversity because its optimization process is only based on the best three wolves greedily, and the information of other wolves does ...
Mahdis Banaie-Dezfouli, Mohammad H Nadimi-Shahraki, Zahra Beheshti   +2 more
exaly   +2 more sources

Multi-group grey wolf optimizer (MG-GWO) for estimating photovoltaic solar cell model

Journal of Thermal Analysis and Calorimetry, 2020
The use of photovoltaic (PV) solar systems as a direct convertor of electricity is increasing on daily basis at industrial and domestic scales. Such systems are still under worldwide investigation due to their low efficiency to have better performance.
Mohammad Alshabi, Chaouki Ghenai, Maamar Bettayeb   +2 more
exaly   +2 more sources

An improved grey wolf optimizer for solving engineering problems

Expert Systems With Applications, 2021
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global optimization and engineering design problems. This improvement is proposed to alleviate the lack of population diversity, the imbalance between the exploitation and ...
Mohammad H Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili   +2 more
exaly   +2 more sources

GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems

Journal of Computational Science, 2022
In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce the existing high selective pressure and low diversification of the GWO ...
Mohammad H Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili   +2 more
exaly   +2 more sources

Grey wolf optimizer and hybrid PSO‐GWO for reliability optimization and redundancy allocation problem

Quality and Reliability Engineering International, 2023
AbstractAnalysis and optimization of system reliability have very much importance for developing an optimal design for the system while using the available resources. Several studies are centered towards reliability optimization using metaheuristics. In this study, a recently developed metaheuristic optimization algorithm called hybrid PSO‐GWO (HPSGWO)
Ashok Singh Bhandari, Akshay Kumar, Mangey Ram   +2 more
openaire   +1 more source

GWO‐C: Grey wolf optimizer‐based clustering scheme for WSNs

International Journal of Communication Systems, 2020
SummaryA wireless sensor network (WSN) is a prominent technology that could assist in the fourth industrial revolution. Sensor nodes present in the WSNs are functioned by a battery. It is impossible to recharge or replace the battery, hence energy is the most important resource of WSNs.
Deepika Agrawal, Muhammad Huzaif Wasim Qureshi, Pooja Pincha, Prateet Srivastava, Sourabh Agarwal, Vikram Tiwari, Sudhakar Pandey   +6 more
openaire   +1 more source

Grey Wolf Optimizer

Advances in Engineering Software, 2014
This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature.
Seyedali Mirjalili, Seyed Mohammad Mirjalili, Andrew Lewis   +2 more
exaly   +2 more sources

GWO-XGB: Grey Wolf Optimization-based eXtreme Gradient Boosting for Hypertension Prediction in Bangladesh

2021 International Conference on Electronics, Communications and Information Technology (ICECIT), 2021
Hypertension is rapidly increasing day by day worldwide as well as in Bangladesh. The majority of people in our country die due to hypertension. So, early prediction of this disease is a very important task that may reduce the number of affected patients. In our paper, we have proposed the Grey Wolf Optimization-based eXtreme Gradient Boosting (GWO-XGB)
Tahsin, Tasfia, Mumenin, Khondoker Mirazul, Pinki, Farhana Tazmim, Tuli, Anamika Biswas, Sikder, Shahriar, Rahman, Md. Ashfikur, Bulbul, Abdullah Al-Mamun, Awal, Md. Abdul   +7 more
openaire   +3 more sources

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

Optimal planning of renewable distributed generation in distribution systems using grey wolf optimizer GWO

2017 Nineteenth International Middle East Power Systems Conference (MEPCON), 2017
The employment of renewable Distributed Generation (DG) sources in Radial Distribution Networks (RDNs) is providing both environmental friendly generation of electric energy and improvement of the overall performance of RDNs. In this study, Grey Wolf Optimization (GWO) algorithm is employed to determine the optimal locations and sizes (OSL) of ...
Mohamed Mohsen, Abdel-Raheem Youssef, Mohamed Ebeed, Salah Kamel   +3 more
openaire   +1 more source