EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL
The paper describes some of the popular evolutionary algorithms: genetic algorithms, differential evolution method, particle swarm optimization and bat-inspired method. With the help of these algorithms the problem of optimal control of a mobile robot is solved. For comparison the same problem is so...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Peoples’ Friendship University of Russia (RUDN University)
2017-12-01
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| Series: | RUDN Journal of Engineering Research |
| Subjects: | |
| Online Access: | http://journals.rudn.ru/engineering-researches/article/view/16700 |
| _version_ | 1797710748375318528 |
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| author | A I Diveev S V Konstantinov |
| author_facet | A I Diveev S V Konstantinov |
| author_sort | A I Diveev |
| collection | DOAJ |
| description | The paper describes some of the popular evolutionary algorithms: genetic algorithms, differential evolution method, particle swarm optimization and bat-inspired method. With the help of these algorithms the problem of optimal control of a mobile robot is solved. For comparison the same problem is solved with the algorithm of fast gradient descent and random search. The computational experiments showed that evolutionary algorithms provide more accurate results for the optimal control problems than fast gradient descent algorithm. |
| first_indexed | 2024-03-12T06:56:45Z |
| format | Article |
| id | doaj.art-13e7defb96834692afe517f741482f53 |
| institution | Directory Open Access Journal |
| issn | 2312-8143 2312-8151 |
| language | English |
| last_indexed | 2024-03-12T06:56:45Z |
| publishDate | 2017-12-01 |
| publisher | Peoples’ Friendship University of Russia (RUDN University) |
| record_format | Article |
| series | RUDN Journal of Engineering Research |
| spelling | doaj.art-13e7defb96834692afe517f741482f532023-09-02T23:58:36ZengPeoples’ Friendship University of Russia (RUDN University)RUDN Journal of Engineering Research2312-81432312-81512017-12-0118225426510.22363/2312-8143-2017-18-2-254-26515475EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROLA I Diveev0S V Konstantinov1<p>Федеральный исследовательский центр «Информатика и управление» Российской академии наук; Российский университет дружбы народов</p><p>Российский университет дружбы народов</p>The paper describes some of the popular evolutionary algorithms: genetic algorithms, differential evolution method, particle swarm optimization and bat-inspired method. With the help of these algorithms the problem of optimal control of a mobile robot is solved. For comparison the same problem is solved with the algorithm of fast gradient descent and random search. The computational experiments showed that evolutionary algorithms provide more accurate results for the optimal control problems than fast gradient descent algorithm.http://journals.rudn.ru/engineering-researches/article/view/16700задача оптимального управленияэволюционные алгоритмыгенетиче-ский алгоритмалгоритм дифференциальной эволюцииметод роя частицалгоритм летучих мышей |
| spellingShingle | A I Diveev S V Konstantinov EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL RUDN Journal of Engineering Research задача оптимального управления эволюционные алгоритмы генетиче-ский алгоритм алгоритм дифференциальной эволюции метод роя частиц алгоритм летучих мышей |
| title | EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL |
| title_full | EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL |
| title_fullStr | EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL |
| title_full_unstemmed | EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL |
| title_short | EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL |
| title_sort | evolutionary algorithms for the problem of optimal control |
| topic | задача оптимального управления эволюционные алгоритмы генетиче-ский алгоритм алгоритм дифференциальной эволюции метод роя частиц алгоритм летучих мышей |
| url | http://journals.rudn.ru/engineering-researches/article/view/16700 |
| work_keys_str_mv | AT aidiveev evolutionaryalgorithmsfortheproblemofoptimalcontrol AT svkonstantinov evolutionaryalgorithmsfortheproblemofoptimalcontrol |