Results 11 to 20 of about 1,072,852 (213)

Building energy optimization using Grey Wolf Optimizer (GWO)

Case Studies in Thermal Engineering, 2021
In the present research, the Grey Wolf Optimizer (GWO) was used to minimize the yearly energy consumption of an office building in Seattle weather conditions.
Mehdi Ghalambaz, Reza Jalilzadeh Yengejeh   +1 more
exaly   +4 more sources

A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm

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
doaj   +2 more sources

An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm [PDF]

Jurnal Ilmiah Teknik Industri, 2022
Energy consumption has become a significant issue in businesses. It is known that the industrial sector has consumed nearly half of the world's total energy consumption in some cases.
Cynthia Novel Al-Imron, Dana Marsetiya Utama, Shanty Kusuma Dewi   +2 more
doaj   +2 more sources

Grey wolf optimizer (GWO) for automated offshore crane design [PDF]

2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016
In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the load can be moved horizontally in one or more ...
Ibrahim A. Hameed, Robin T. Bye, Ottar L. Osen   +2 more
openaire   +3 more sources

Stochastic Grey Wolf Optimization for Hyperparameter Tuning of LSTM and RNN Models in Energy Forecasting [PDF]

Scientific Reports
Accurate photovoltaic (PV) power forecasts are required to support the stable and efficient incorporation of solar power into modern electric power grids.
Omsaeed Ahmed Albser, Mourad R. Mouhamed, Salma A. Shatta, Nasser H. Sweilem, Ashraf Darwish   +4 more
doaj   +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   +4 more sources

Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO)

Wasit Journal for Pure Sciences
Evolutionary algorithms suffer significantly from a stack at the local optima. This paper proposes a new strategy that detects when the search gets stuck in a local optimum and then switches to a more dynamic approach to escape.
Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry   +3 more
doaj   +2 more sources

Modified Grey Wolf Optimizer and Application in Parameter Optimization of PI Controller

Applied Sciences
The Grey Wolf Optimizer (GWO) is a well-known metaheuristic algorithm that currently has an extremely wide range of applications. However, with the increasing demand for accuracy, its shortcomings of low exploratory and population diversity are ...
Long Sheng, Sen Wu, Zongyu Lv
doaj   +2 more sources

Iterative localization method for multiple jammers in UAV collaborative jamming attacks [PDF]

Scientific Reports
To achieve multi-jammer localization in a collaborative jamming attack scenario involving UAVs, this paper designs a multi-jammer iterative localization algorithm based on error minimization and proposes a multi-strategy improved grey wolf optimizer ...
Li Huang, Luhao Xiong, Shijie Huang, Jingxuan Wang, Changsheng Wan   +4 more
doaj   +2 more sources

Optimasi Parameter Support Vector Regression (SVR) Menggunakan Algoritma Grey Wolf Optimizer (GWO) [PDF]

Jurnal Ilmiah Matematika
Prediksi harga bawang merah merupakan hal penting bagi petani dan pemerintah untuk mengurangi risiko ekonomi dan membuat keputusan yang lebih baik. Penelitian ini bertujuan untuk mengembangkan model prediksi harga bawang merah di Indonesia menggunakan Support Vector Regression (SVR) yang dioptimalkan dengan algoritma Grey Wolf Optimizer (GWO).
null Yulia Candra Dewi, null Joko Purwadi   +1 more
core   +3 more sources