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Swarm optimization approach to non-stationary physical field survey problem using a group of autonomous underwater vehicles

Авторы: Tolstikhin A., Bychkov I.

Журнал: CEUR Workshop Proceedings: 2nd Intern. Workshop on Information, Computation, and Control Systems for Distributed Environments (ICCS-DE 2020; Irkutsk, 6-7 July 2020)

Том: 2638

Номер:

Год: 2020

Отчётный год: 2020

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Аннотация: The paper considers the problem of searching for the source of a non-stationary physical field. We assume that the use of swarm algorithms may be applicable in this case. A hybrid of the Whale Optimization Algorithm and Grey Wolf Optimizer is proposed in this paper. The algorithm has several advantages over its origins: a more precise solution of the optimization problem for low-dimensional functions and a higher convergence rate of the first iterations. Two modifications were made to adapt the algorithm to the requirements of the problem. The proposed algorithm is used as a basis for a control strategy for a group of autonomous underwater vehicles. As a result, in the vast number of cases, the group can find the source within the given number of search iterations.

Индексируется WOS: Нет

Индексируется Scopus: Нет

Индексируется УБС: Нет

Индексируется РИНЦ: Нет

Индексируется ВАК: Нет

Индексируется CORE: Нет

Публикация в печати: 0