dc.contributor.author | FRATAVCHAN, Valerіi | |
dc.contributor.author | FRATAVCHAN, Tonia | |
dc.contributor.author | ABABII, Victor | |
dc.date.accessioned | 2024-12-08T14:17:02Z | |
dc.date.available | 2024-12-08T14:17:02Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | FRATAVCHAN, Valerіi; Tonia FRATAVCHAN and Victor ABABII. About a pseudo-genetic algorithm and some features of its practical application. In: Electronics, Communications and Computing (IC ECCO-2024): The conference program and abstract book: 13th intern. conf., Chişinău, 17-18 Oct. 2024. Technical University of Moldova. Chişinău: Tehnica-UTM, 2024, pp. 192-193. ISBN 978-9975-64-480-8 (PDF). | en_US |
dc.identifier.isbn | 978-9975-64-480-8 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/28813 | |
dc.description | Only Abstract | en_US |
dc.description.abstract | The paper describes some of the difficulties of using the classical genetic algorithm in a multidimensional numerical space. An optimization algorithm is proposed, which functions according to the principle of the genetic algorithm, but works with numerical arguments and has a simpler implementation. Examples of the use of the pseudo-genetic algorithm for solving certain non-standard optimization problems and for conducting hybrid procedures for clustering sets of multidimensional points are demonstrated. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Technical University of Moldova | en_US |
dc.relation.ispartofseries | Electronics, Communications and Computing (IC ECCO-2024): 13th intern. conf., 17-18 Oct. 2024; | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | genetic algorithm | en_US |
dc.subject | computational complexity | en_US |
dc.subject | optimization task | en_US |
dc.subject | hybrid method | en_US |
dc.title | About a pseudo-genetic algorithm and some features of its practical application | en_US |
dc.type | Article | en_US |
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