Results 21 to 30 of about 134,091 (279)

An Improved Gray Wolf Optimization Algorithm to Solve Engineering Problems [PDF]

Sustainability, 2021
With the rapid development of the economy, the disparity between supply and demand of resources is becoming increasingly prominent in engineering design. In this paper, an improved gray wolf optimization algorithm is proposed (IGWO) to optimize engineering design problems.
Yu Li, Xiaoxiao Lin, Jingsen Liu
openaire   +1 more source

Research on Optimization of GWO-BP Model for Cloud Server Load Prediction

IEEE Access, 2021
To improve the accuracy of cloud server resource load prediction, particle swarm optimization (PSO) algorithm, gray wolf optimization (GWO) algorithm and BP neural network are studied in-depth and applied.
Ke Hou, Mingcheng Guo, Xinhao Li, He Zhang   +3 more
doaj   +1 more source

Improved gray wolf optimization algorithm for solving low-carbon transportation scheduling problem in open-pit mines

Gong-kuang zidonghua, 2020
In order to solve the problem of low-carbon transportation scheduling in open-pit mines, the mathematical model is established by taking the mining volume, crushing volume of crushing stations and the number of trucks as constraints and taking the ...
MEN Fei, JIANG Xi
doaj   +1 more source

Dynamic Community in static social networks using the gray wolf optimizer algorithm [PDF]

مدیریت مهندسی و رایانش نرم, 2020
Identifying communities in complex networks is an important issues in social network analysis, and it helps researchers understand the function and display of network structures.
Fatemeh Besharatnia, Alireza Talebpur, Sadegh Aliakbari   +2 more
doaj   +1 more source

Chaos Gray Wolf global optimization algorithm based on Opposition- based Learning

Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2022
Abstract Gray wolf optimizer (GWO) is a new heuristic algorithm. It has few parameters and strong optimization ability and is used in many fields. However, when solving complex and multimodal functions, it is also easy to trap into the local optimum and premature convergence.
Zhiyong Luo, Mingxiang Tan, Zhengwen Huang, Guoquan Li   +3 more
openaire   +2 more sources

MPPT Control Research of Improved Gray Wolf Algorithm According to Levy Flight and Greedy Strategy

Journal of Physics: Conference Series, 2023
MPPT control study of improved Gray Wolf algorithm (GWO) according to Levy flight and greedy strategy: Solving the problems of maximum power point tracking (MPPT) with traditional Gray Wolf algorithm (GWO) under local shadows of photovoltaic arrays and ...
Wenxiang Luo, Yong Huang, Wenhao Zhou, Yin Nie, Chunqin Lai   +4 more
semanticscholar   +1 more source

Maximizing Output Power for Solar Panel using Grey Wolf Optimization

NTU Journal of Engineering and Technology, 2022
Obtaining the highest output power delivered from solar panel that leads to an amelioration in the efficiency of the solar system related to the weather conditions and the rate of solar radiation falling on the panel.
Ali Nadhim Hamoodi, Fawaz Sultan Abdulla, Abdullah Ahmed Alwan   +2 more
doaj   +1 more source

Comparison of Algorithms and Parameterisations for Infiltration into Organic-Covered Permafrost Soils [PDF]

, 2010
Infiltration into frozen and unfrozen soils is critical in hydrology, controlling active layer soil water dynamics and influencing runoff. Few Land Surface Models (LSMs) and Hydrological Models (HMs) have been developed, adapted or tested for frozen ...
Carey, Sean K., Flerchinger, Gerald N., Janowicz, J. Richard, Pomeroy, John W., Quinton, William L., Zhang, Yinsou   +5 more
core   +2 more sources

Evaluation of the Algorithms and Parameterizations for Ground Thawing and Freezing Simulation in Permafrost Regions [PDF]

, 2008
Ground thawing and freezing depths (GTFDs) strongly influence the hydrology and energy balances of permafrost regions. Current methods to simulate GTFD differ in algorithm type, soil parameterization, representation of latent heat, and unfrozen water ...
Abbey, Alexeev, Alexiades, Andersland, Anderson, Anisimov, Becker, Boike, Burn, Carey, Carey, Carey, Carey, Carlson, Cary, Cherkauer, Coll, Dai, de Vries, Delisle, Farouki, Foley, Fox, Fuchs, Goodrich, Goodrich, Goodrich, Gu, Hayashi, Hinkel, Hinkel, Hinzman, Johansen, Jumikis, Kade, Kane, Kersten, Klene, Koopmans, Koren, Lachenbruch, Lawrence, Li, Ling, Lunardini, Luo, McCauley, McNamara, Metcalfe, Nakano, Nelson, Nelson, Nicolsky, Niu, Osterkamp, Osterkamp, Outcalt, Overduin, Pitman, Quinton, Quinton, Riseborough, Romanovsky, Romanovsky, Romanovsky, Sean K. Carey, Shoop, Slater, Smerdon, Smirnova, Stefan, Stevens, Sushama, Sushama, Tarnawski, Tarnawski, Torrance, Van Wijk, Verseghy, William L. Quinton, Williams, Woo, Woo, Woo, Yalamanchili, Yi, Yinsuo Zhang, Zhang, Zhang, Zhang, Zhang, Zhao   +91 more
core   +2 more sources

Optimizing a Multi-Layer Perceptron Based on an Improved Gray Wolf Algorithm to Identify Plant Diseases

Mathematics, 2023
Metaheuristic optimization algorithms play a crucial role in optimization problems. However, the traditional identification methods have the following problems: (1) difficulties in nonlinear data processing; (2) high error rates caused by local ...
Chunguang Bi, Qiaoyu Tian, He Chen, Xianqiu Meng, Huan Wang, W. Liu, Jianhua Jiang   +6 more
semanticscholar   +1 more source