IGBSG 2018 - 2018 International Conference on Intelligent Green Building and Smart Grid. Institute of Electrical and Electronics Engineers Inc.. 2018. С. 1-4
An experimental comparison of evolutionary algorithms and gradient-based methods for the optimal control problem is carried out. The problem is solved separately by Particle swarm optimization, Grey wolf optimizer, Fast gradient descent method, Marquardt method and Adam method. The simulation is performed on a jet aircraft model. The results of each algorithm performance are compared according to the best found value of the fitness function, the mean value and the standard deviation. © 2018 IEEE.