Results 131 to 140 of about 422 (162)
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Efficient Coronavirus Herd Immunity Optimizer for the UAV Base Stations Placement Problem
Lecture Notes in Networks and Systems, 2022This paper proposes an improved version of the Coronavirus Herd Immunity Optimizer (CHIO) algorithm, called RFDB-CHIO, for solving the Unmanned Aerial vehicle carried Base Stations (UAV-BSs) placement problem in 5G networks. The proposed RFDB-CHIO is based on the integration of the Roulette Fitness Distance Balance (RFDB) selection mechanism into the ...
Yassine Meraihi, Amar Ramdane-Cherif
exaly +3 more sources
AC and DC Transmission Line Expansion Planning Using Coronavirus Herd Immunity Optimizer
2021 22nd International Middle East Power Systems Conference (MEPCON), 2021Mohamed M Refaat +2 more
exaly +2 more sources
AbstractThis paper proposes a hybrid Modified Coronavirus Herd Immunity Aquila Optimization Algorithm (MCHIAO) that compiles the Enhanced Coronavirus Herd Immunity Optimizer (ECHIO) algorithm and Aquila Optimizer (AO). As one of the competitive human-based optimization algorithms, the Coronavirus Herd Immunity Optimizer (CHIO) exceeds some other ...
Amira Y Haikal, Mahmoud M Saafan
exaly +2 more sources
Concurrency and Computation: Practice and Experience, 2023
SummaryA new blackbox technique has been presented in this article for model estimation of solid oxide fuel cells (SOFCs) for providing better results. The proposed method is based on a hierarchical radial basis function (HRBF). The presented method is then developed by a new modified metaheuristic called developed coronavirus herd immunity algorithm ...
Ting Zou, Zhihui Chen, Saeid Razmjooy
openaire +1 more source
SummaryA new blackbox technique has been presented in this article for model estimation of solid oxide fuel cells (SOFCs) for providing better results. The proposed method is based on a hierarchical radial basis function (HRBF). The presented method is then developed by a new modified metaheuristic called developed coronavirus herd immunity algorithm ...
Ting Zou, Zhihui Chen, Saeid Razmjooy
openaire +1 more source
Academic Platform Journal of Engineering and Smart Systems, 2022
Optimal control of the Automatic Voltage Regulator (AVR) system can improve the system behavior with the optimal parameters obtained based on optimization. The design of proposed Proportional Integral Derivative (PID) and Proportional Integral Derivative Plus Second Order Derivative (PIDD2) controllers are stated as an optimization problem including ...
Selcuk EMİROGLU, Talha Enes GÜMÜŞ
openaire +2 more sources
Optimal control of the Automatic Voltage Regulator (AVR) system can improve the system behavior with the optimal parameters obtained based on optimization. The design of proposed Proportional Integral Derivative (PID) and Proportional Integral Derivative Plus Second Order Derivative (PIDD2) controllers are stated as an optimization problem including ...
Selcuk EMİROGLU, Talha Enes GÜMÜŞ
openaire +2 more sources
Power Management of Hybrid System Using Coronavirus Herd Immunity Optimizer Algorithm
Journal of Electrical Engineering and TechnologyShaimaa A Kandil
exaly +2 more sources
Abstract Groundwater levels are under severe pressure globally due to over-extraction, pollution, and climate change necessitating continuous monitoring for sustainable aquifer management. This study introduces a novel ensemble machine learning (En) model that integrates shallow and deep machine learning (ML) models, optimized through the ...
Ahmed M Saqr +2 more
exaly +4 more sources
IEEJ Transactions on Electrical and Electronic Engineering
Planning and developing infrastructure for electric vehicle charging stations (EVCS) is necessary to serve the rapidly increasing number of electric vehicles (EVs) today. On the other hand, issues of stable operation, solving complex constraints, optimizing renewable energy sources, and economic efficiency of EVCS investment in the distribution network
Thien Vo Minh +4 more
openaire +1 more source
Planning and developing infrastructure for electric vehicle charging stations (EVCS) is necessary to serve the rapidly increasing number of electric vehicles (EVs) today. On the other hand, issues of stable operation, solving complex constraints, optimizing renewable energy sources, and economic efficiency of EVCS investment in the distribution network
Thien Vo Minh +4 more
openaire +1 more source

