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Optimization of heliostat field distribution based on improved Gray Wolf optimization algorithm
Renewable Energy, 2021Abstract The heliostat field of tower solar thermal power station accounts for 40%–50% of the total cost, and influences the concentrating efficiency. Accordingly, it is necessary to optimize the layout of the heliostat field. Based on the optical efficiency model, an improved Gray Wolf Optimization (GWO) algorithm is proposed to optimize the field ...
Daifei Liu, Qiyue Xie, Xiaoli Wang
exaly +2 more sources
Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm
The paper presents the optimization method and computer software for the design of a low-power line-start permanent magnet synchronous motor (LSPMSM). The in-house-developed computer software was created with two independent modules: (a) the optimization
Łukasz Knypiński, Yvonnick le Menach
exaly +2 more sources
A chaotic and hybrid gray wolf-whale algorithm for solving continuous optimization problems
Progress in Artificial Intelligence, 2021The gray wolf optimizer (GWO) and the whale optimization algorithm (WOA) are two esteemed optimization algorithms, and their various modified versions are proposed in recent years for different applications. The GWO and WOA simulate the hunting method of gray wolves and humpback whales, respectively.
Mohammad Masdari +2 more
exaly +3 more sources
Identification of influential users in social network using gray wolf optimization algorithm
Expert Systems With Applications, 2020Abstract A challenging issue in viral marketing is to effectively identify a set of influential users. By sending the advertising messages to this set, one can reach out the largest area of the network. In this paper, we formulate the influence maximization problem as an optimization problem with cost functions as the influentiality of the nodes and ...
Amir Sheikhahmadi, Ahmad Zareie
exaly +3 more sources
System Reliability Optimization Using Gray Wolf Optimizer Algorithm
Quality and Reliability Engineering International, 2016For the past two decades, nature‐inspired optimization algorithms have gained enormous popularity among the researchers. On the other hand, complex system reliability optimization problems, which are nonlinear programming problems in nature, are proved to be non‐deterministic polynomial‐time hard (NP‐hard) from a computational point of view.
Anuj Kumar, Sangeeta Pant, Mangey Ram
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Robotica, 2023
AbstractWith the popularization of electric vehicles, early built parking lots cannot solve the charging problem of a large number of electric vehicles. Mobile charging robots have autonomous navigation and complete charging functions, which make up for this deficiency.
Shangjunnan Liu +2 more
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AbstractWith the popularization of electric vehicles, early built parking lots cannot solve the charging problem of a large number of electric vehicles. Mobile charging robots have autonomous navigation and complete charging functions, which make up for this deficiency.
Shangjunnan Liu +2 more
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Concurrency and Computation: Practice and Experience, 2021
AbstractCloud computing is one of the emerging technologies in computer science in which services are provided through the internet on‐demand. Workflow scheduling is considered to be an NP‐hard problem and has a significant issue in the cloud environment.
Neeraj Arora, Rohitash Kumar Banyal
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AbstractCloud computing is one of the emerging technologies in computer science in which services are provided through the internet on‐demand. Workflow scheduling is considered to be an NP‐hard problem and has a significant issue in the cloud environment.
Neeraj Arora, Rohitash Kumar Banyal
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Optimization of Synchronous Control Parameters Based on Improved Sinusoidal Gray Wolf Algorithm
High precision control is often accompanied by many control parameters, which are interrelated and difficult to adjust directly. It is difficult to convert the system control effect directly into mathematical expression, so it is difficult to optimize it
Taoyu Wang, Bo She, Shiyan Sun
exaly +2 more sources
Weight optimization of power and distribution type transformer by Gray Wolf optimization algorithm
2022Elektromanyetik alan yoluyla elektrik enerjisinin aktarılması prensibine göre çalışan transformatörler, yüksek verimliliğe sahip elektrik makinalarıdır. Transformatörün verimliliğini etkileyen ağırlık ve boyut parametreleri, transformatörlerin tasarımında önemlidir. Bu çalışmada, elektrik enerjisinin iletimi ve dağıtımı aşamalarında aktif kullanılan ve
TOREN, Murat, MOLLAHASANOĞLU, Hakkı
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