Multi-objective optimization of hybrid nuclear power plant coupled with multiple effect distillation using gravitational search algorithm based on artificial neural network

2020 ◽  
Vol 19 ◽  
pp. 100645 ◽  
Author(s):  
A. Naserbegi ◽  
M. Aghaie
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Multi Objective Optimization ◽  
Gravitational Search ◽  
Multiple Effect Distillation

RF MEMS for Reconfigurable Antenna Using Gravitational Search Optimization and Artificial Neural Network

2018 ◽  
Vol 27 (08) ◽  
pp. 1850132
Author(s):  
T. A. Balarajuswamy ◽  
R. Nakkeeran
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Rf Mems ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Beam Width ◽  
Optimization Method ◽  
Gravitational Search ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

The projected method explains about the problems occurred in the combination of the MEMS switches and the complete scheme plan is resolved through choosing the finest devise limits for the plan. The devise limits, namely, length of beam, width of beam, torsion arm length, switch thickness, holes and gap were measured. At this point, the finest value of the devise limit is forecast by the aid of artificial neural network (ANN). Furthermore, the method contains the optimization method of Gravitational Search Algorithm (GSA) to optimize the input signal and so dropping the Mean Square Error (MSE). The complete scheme is executed in the operational platform of MATLAB and the outcomes were examined.

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