Black hole algorithm: A comprehensive survey; Applied Intelligence; Vol. 52, iss. 10
| Parent link: | Applied Intelligence Vol. 52, iss. 10.— 2022.— [P. 11892–11915] |
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| Yhteisötekijä: | |
| Muut tekijät: | , , , , , , , , |
| Yhteenveto: | 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 |
| Kieli: | englanti |
| Julkaistu: |
2022
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| Aiheet: | |
| Linkit: | https://doi.org/10.1007/s10489-021-02980-5 |
| Aineistotyyppi: | Elektroninen Kirjan osa |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668725 |
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| 200 | 1 | |a Black hole algorithm: A comprehensive survey |f A. Laith, A. M. Mokhamed Elsaed (Mohamed Abd Elaziz), P. Sumari [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 142 tit.] | ||
| 330 | |a 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. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Applied Intelligence | ||
| 463 | |t Vol. 52, iss. 10 |v [P. 11892–11915] |d 2022 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a black hole algorithm | |
| 610 | 1 | |a optimization algorithms | |
| 610 | 1 | |a meta-heuristics | |
| 610 | 1 | |a real-word problems | |
| 610 | 1 | |a optimization problems | |
| 610 | 1 | |a algorithm | |
| 610 | 1 | |a optimization | |
| 610 | 1 | |a алгоритмы | |
| 610 | 1 | |a черные дыры | |
| 610 | 1 | |a оптимизация | |
| 610 | 1 | |a метаэвристика | |
| 610 | 1 | |a оптимизация | |
| 701 | 1 | |a Laith |b A. |g Abualigah | |
| 701 | 1 | |a Mokhamed Elsaed (Mohamed Abd Elaziz) |b A. M. |c Specialist in the field of informatics and computer technology |c Professor of Tomsk Polytechnic University |f 1987- |g Akhmed Mokhamed |3 (RuTPU)RU\TPU\pers\46943 | |
| 701 | 1 | |a Sumari |b P. |g Putra | |
| 701 | 1 | |a Ahmad |b M. Kh. |g Khasawneh | |
| 701 | 1 | |a Mohammad |b A. |g Alshinwan | |
| 701 | 1 | |a Seyedali |b M. |g Mirjalili | |
| 701 | 1 | |a Mohammad |b Sh. |g Shehab | |
| 701 | 1 | |a Hayfa |b Y. A. |g Abuaddous | |
| 701 | 1 | |a Amir |b H. G. |g Gandomi | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |c 2017- |x TPU |7 ca |8 rus |9 28330 |
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| 856 | 4 | |u https://doi.org/10.1007/s10489-021-02980-5 | |
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