scholarly journals Active Control of Pressure Resonance in Long Pipeline of Bottom Founded Hydraulic Wind Turbines Based on Multi-Objective Genetic Algorithm

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 53368-53380 ◽  
Author(s):  
Chao Ai ◽  
Wenjie Bai ◽  
Tingyuan Zhang ◽  
Xiangdong Kong
Keyword(s):  
Genetic Algorithm ◽  
Active Control ◽  
Wind Turbines ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Optimal positioning of wind turbines on Gökçeada using multi-objective genetic algorithm

Wind Energy ◽  
2010 ◽  
Vol 13 (4) ◽  
pp. 297-306 ◽  
Author(s):  
Sedat Şişbot ◽  
Özgü Turgut ◽  
Murat Tunç ◽  
Ünal Çamdalı
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbines ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Airfoil Optimization for Small Wind Turbines Using Multi Objective Genetic Algorithm

2012 ◽  
Author(s):  
Krishnil R. Ram ◽  
Sunil Lal ◽  
M. Rafiuddin Ahmed
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbines ◽  
Lift Coefficient ◽  
Geometric Constraints ◽  
Control Points ◽  
Airfoil Optimization ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Small Wind Turbines ◽  
Horizontal Axis Wind Turbines

Small wind turbines are gaining popularity due to their ability to meet community or domestic needs in isolated areas with relatively easier installation and lower cost than large wind turbines. This study looks at optimizing airfoils for use in small horizontal axis wind turbines. The optimization looks to maximize the lift coefficient (Cl) while minimizing or fixing the drag coefficient (Cd). To satisfy these two objectives a multi–objective genetic algorithm is used. The airfoil is parameterized using a composite Bezier curve with two Bezier segments and 11 control points. Appropriate curvature conditions are implemented at the leading and trailing edge of the airfoil and geometric constraints are applied to maintain the maximum thickness between 8% to 14% of the chord for structural reasons. An existing genetic algorithm (GA) code is modified in C++ to generate suitable airfoils using the 13 control points and pass the coordinates to a solver for analysis. As a result four new airfoils are generated for application in low Reynolds number (Re) flow. The characteristics and suitability of the four airfoils are discussed while comparing them to the popular SG6043 airfoil.

scholarly journals Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hongjing Wei ◽  
Shaobo Li ◽  
Huafeng Quan ◽  
Dacheng Liu ◽  
Shu Rao ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Efficient ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Shop Scheduling ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm
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