Results 11 to 20 of about 81,533 (253)

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

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

Integrated Energy Scheduling Optimization Based on Improved Gray Wolf Algorithm

Journal of Physics: Conference Series, 2023
Abstract An integrated energy system contains a lot of distributed energy resources, and various energy sources complement each other, which greatly improves energy and has a significant advantage in energy conservation and emissions reduction.
Jiawei Shang, Chenxu Wang, Shijun Zhang, Xu Gong, Qinyu Kang   +4 more
openaire   +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

Generalized Gray Codes for Local Rank Modulation [PDF]

, 2011
We consider the local rank-modulation scheme in which a sliding window going over a sequence of real-valued variables induces a sequence of permutations.
Eyal En Gad, Jehoshua Bruck, Michael Langberg, Moshe Schwartz, Senior Member   +4 more
core   +6 more sources