Comparative research of random search algorithms and evolutionary algorithms for the optimal control problem of the mobile robot

An experimental comparison of evolutionary algorithms and random search algorithms for the optimal control problem is carried out. The problem is solved separately by several representatives of each type of algorithms. The simulation is performed on a mobile robot 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. © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 13th International Symposium “Intelligent Systems” (INTELS'18).

Сборник материалов конференции
Издательство
Elsevier B.V.
Язык
Английский
Страницы
462-470
Статус
Опубликовано
Том
150
Год
2019
Организации
  • 1 RUDN University, Miklukho-Maklaya str. 6, Moscow, 117198, Russian Federation
  • 2 Federal Research Centre, Computer Science and Control, RAS, Vavilova str. 44 b. 2, Moscow, 119333, Russian Federation
Ключевые слова
Evolutionary algorithms; Optimal control; Random search algorithms
Дата создания
19.07.2019
Дата изменения
19.07.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/38993/