نتایج جستجو برای: multi objective grey wolf optimizer

تعداد نتایج: 1014725  

 Sequence dependent set-up times scheduling problems (SDSTs), availability constraint and transportation times are interesting and important issues in production management, which are often addressed separately. In this paper, the SDSTs job shop scheduling problem with position-based learning effects, job-dependent transportation times and multiple preventive maintenance activities is studied. ...

Journal: :Frontiers in Earth Science 2023

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast displacements hydropower dams. In used create whereas algorithm employed search penalty and kernel parameters for SVR. this work, multiple-arch was selected as case study. To val...

Journal: :Journal of Engineering and Applied Sciences 2019

Journal: :Computational research progress in applied science and engineering 2021

The use of renewable solar and wind resources as distributed generation sources in distribution networks has been welcomed by network operators. In order to exploit the maximum benefits using these products, location installation their capacity should be determined optimally network. this paper, optimize placement panels turbines with aim reducing losses improving reliability based on Energy No...

2015
Al-Attar A. Mohamed Ahmed A. M. El-Gaafary Yahia S. Mohamed Ashraf M. Hemeida

Energy efficiency, which consists of using less energy or improve service level to energy consumers. But its increasing pressure on the energy sector to control greenhouse gases forced the engineers to consider the emission problem as a consequential matter besides the economic problems. This paper presents a modified Multi-Objective Optimization algorithm inspired by hunting behavior of Grey W...

Journal: :International Journal of Intelligent Systems and Applications in Engineering 2019

Journal: :Electronics 2022

A Model-based predictive current control (MBPCC) has recently become a powerful advanced technology in industrial drives. However, MBPCC relies on the knowledge of system model and parameters, being, therefore, very sensitive to parameters errors. In case synchronous reluctance motor (SynRM), where vary due its ferromagnetic structure nonlinear magnetic properties, performance would suffer sign...

Congestion and overloading for lines are the main problems in the exploitation of power grids. The consequences of these problems in deregulated systems can be mentioned as sudden jumps in prices in some parts of the power system, lead to an increase in market power and reduction of competition in it. FACTS devices are efficient, powerful and economical tools in controlling power flows through ...

Journal: :International Journal of Electrical and Computer Engineering (IJECE) 2016

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