最优控制问题的进化算法与梯度方法的比较

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI:10.1109/CoDIT.2018.8394805

A. Diveev, S. Konstantinov, E. Sofronova

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引用次数: 3

摘要

对进化算法和基于梯度的最优控制方法进行了实验比较。分别采用粒子群算法、灰狼优化算法、快速梯度下降法、Marquardt法和Adam法进行求解。在某喷气飞机模型上进行了仿真。根据适应度函数的最佳发现值、均值和标准差对各算法的性能结果进行比较。

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

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.

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2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)

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