Control of technical object on the basis of the multi-agent system with neuroevolution and student-teacher of-line learning

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific and Research Conference on Topical Issues in Aeronautics and Astronautics, TIAA 2016; Krasnoyarsk; Krasnoyarsk

Год издания: 2016

Идентификатор DOI: 10.1088/1757-899X/155/1/012001

Аннотация: This paper presents algorithm for generating neuroevolutionary multi-agent system that allows agents to learn from high-quality activities. Dissimilar traditional learning algorithms proposed algorithm combines student-teacher of-line learning and teaching agents based on sufficient activities producing by any agent in its subcultuПоказать полностьюre. The simulation studies demonstrated that the proposed algorithm is effective at rapidly generating near-optimal control agents.

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: 155

Номера страниц: 012001

Издатель: Institute of Physics Publishing

Авторы

  • Engel E.A. (First Russian Doctoral Degree in Computer Sciences,Katanov State University of Khakassia)
  • Engel N.E. (First Russian Doctoral Degree in Computer Sciences,Katanov State University of Khakassia)
  • Kovalev I.V. (Second Russian Doctoral Degree in Computer Sciences,Siberian State Aerospace University)

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