Genetic Algorithm Based PID Parameter Optimization for Longitudinal Dynamics of a Fixed Wing Mini UAV

2021 ◽  
pp. 325-334
Author(s):  
Şaban Ulus ◽  
Ikbal Eski
2014 ◽  
Vol 56 (9) ◽  
pp. 728-736 ◽  
Author(s):  
Krishnasamy Vijaykumar ◽  
Kavan Panneerselvam ◽  
Abdullah Naveen Sait

2016 ◽  
Vol 90 ◽  
pp. 559-565 ◽  
Author(s):  
G. Arunkumar ◽  
I. Gnanambal ◽  
S. Naresh ◽  
P.C. Karthik ◽  
Jagadish Kumar Patra

2015 ◽  
Vol 764-765 ◽  
pp. 444-447
Author(s):  
Keun Hong Chae ◽  
Hua Ping Liu ◽  
Seok Ho Yoon

In this paper, we propose a multiple objective fitness function for cognitive engines by using the genetic algorithm (GA). Specifically, we propose four single objective fitness functions, and finally, we propose a multiple objective fitness function based on the single objective fitness functions for transmission parameter optimization. Numerical results demonstrate that we can obtain transmission parameter sets optimized for given transmission scenarios with the GA-based cognitive engine incorporating the proposed objective fitness function.


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