A Comparison of Evolutionary Algorithms and Gradient-based Methods for the Optimal Control Problem

被引：0
|
作者：
Diveev, A. I. [1 ,2 ]
Konstantinov, S. V. [2 ]
Sofronova, E. A. [1 ]
机构：
[1] Russian Acad Sci, Fed Res Ctr Comp Sci & Control, Moscow, Russia
[2] RUDN Univ, Moscow, Russia
来源：
2018 5TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT) | 2018年
基金：
俄罗斯基础研究基金会;
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：259 / 264
页数：6
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