Results 1 to 10 of about 6,414 (217)

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   +3 more sources

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, Amir Hossein Davami   +2 more
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

Grey wolf optimizer with self-repulsion strategy for feature selection [PDF]

Scientific Reports
Feature selection is one of the most critical steps in big data analysis. Accurately extracting correct features from massive data can effectively improve the accuracy of big data processing algorithms.
Yufeng Wang, Yumeng Yin, Hang Zhao, Jinxuan Liu, Chunyu Xu, Wenyong Dong   +5 more
doaj   +2 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

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 ...
Hameed, Ibrahim, Bye, Robin Trulssen, Osen, Ottar   +2 more
openaire   +2 more sources

An Improved Grey Wolf Optimizer Based on Tracking and Seeking Modes to Solve Function Optimization Problems

IEEE Access, 2020
Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking.
M. W. Guo, J. S. Wang, L. F. Zhu, S. S. Guo, W. Xie   +4 more
doaj   +1 more source

Prediction of solar irradiance using grey wolf Optimizer-Least-Square support vector machine [PDF]

, 2020
Prediction of solar irradiance is important for minimizing energy costs and providing high power quality in a photovoltaic (PV) system. This paper proposes a new technique for prediction of hourly-ahead solar irradiance namely Grey Wolf Optimizer- Least ...
Ab Aziz, Nur Fadilah, Ab Wahab, Norfishah, Ashida Salim, Nur, Mat Yasin, Zuhaila, Mohamad, Hasmaini   +4 more
core   +3 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   +1 more source

Risk prediction of coal and gas outburst

Gong-kuang zidonghua, 2022
In order to solve the problems of low accuracy and slow response speed of existing support vector machine (SVM)-based coal and gas outburst prediction methods, a risk prediction method of coal and gas outburst based on improved grey wolf optimizer (IGWO)
LI Yan, NAN Xinyuan, LIN Wanke
doaj   +1 more source