Black hole algorithm: A comprehensive survey; Applied Intelligence; Vol. 52, iss. 10

Black hole algorithm: A comprehensive survey; Applied Intelligence; Vol. 52, iss. 10

Detalhes bibliográficos
Parent link:	Applied Intelligence Vol. 52, iss. 10.— 2022.— [P. 11892–11915]
Autor Corporativo:	Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Outros Autores:	Laith A. Abualigah, Mokhamed Elsaed (Mohamed Abd Elaziz) A. M. Akhmed Mokhamed, Sumari P. Putra, Ahmad M. Kh. Khasawneh, Mohammad A. Alshinwan, Seyedali M. Mirjalili, Mohammad Sh. Shehab, Hayfa Y. A. Abuaddous, Amir H. G. Gandomi
Resumo:	Title screen This paper provides an in-depth literature review of the Black Hole Algorithm (BHA) which is considered as a recent metaheuristic. BHA has been proven to be very efficient in different applications. There has been several modifications and variants of this algorithm in the literature, so this work reviews various variants of the BHA. The applications of BHA in engineering problems, clustering, task scheduling, image processing, etc. have been thoroughly reviewed as well. This review article sheds lights on the pros and cons of this algorithm and enables finding a right variant of this algorithm for a certain application area. The paper concludes with an in-depth future direction. Режим доступа: по договору с организацией-держателем ресурса
Idioma:	inglês
Publicado em:	2022
Assuntos:	электронный ресурс труды учёных ТПУ black hole algorithm optimization algorithms meta-heuristics real-word problems optimization problems algorithm optimization алгоритмы черные дыры оптимизация метаэвристика
Acesso em linha:	https://doi.org/10.1007/s10489-021-02980-5
Formato:	Recurso Eletrônico Capítulo de Livro
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668725

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