Using a genetic algorithm to optimize a dual mode storable propellant spacecraft

2001 ◽  
Author(s):  
J. Sims ◽  
C. Popp
Keyword(s):  
Genetic Algorithm ◽  
Dual Mode

Dual-Mode Control MPPT Algorithm Based on Improved Genetic Algorithm and Perturbation and Observation Method

2012 ◽  
Vol 614-615 ◽  
pp. 1367-1371
Author(s):  
Yu Hong Zhao ◽  
Ze Guang Su ◽  
Zu Hua Xu
Keyword(s):  
Genetic Algorithm ◽  
Photovoltaic Cells ◽  
Maximum Power ◽  
Improved Genetic Algorithm ◽  
Tracking Accuracy ◽  
Dual Mode ◽  
Maximum Power Point ◽  
Mode Control ◽  
Power Point ◽  
Observation Method

To improve the tracking accuracy of the maximum power point of photovoltaic cells can improve the operational efficiency of photovoltaic power generation system and reduce the cost of photovoltaic electricity. Because the common perturbation and observation (P&O) runs at a low speed, this paper proposes a new dual-mode control MPPT algorithm based on improved genetic algorithm and perturbation & observation method. Then this method was used in the experiment. From the experimental results can be seen, the algorithm overcomes the shortcomings of the traditional perturbation and observation method can quickly and accurately tracking the maximum power point of photovoltaic cells output, you can improve system output power.

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
Genetic Algorithm ◽  
Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
State Energy
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