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| Ultima descărcare din IBN: 2022-10-24 23:16 |
 SM ISO690:2012TSURKAN, Ana, BOROZAN, Olesea, MUNTEANU, Silvia, ABABII, Constantin, NISTIRIUC, Ana, ŞESTACOV, Andrei, STRUNĂ, Vadim, LASCO, Victor. Multi-Criteria Distributed Decision-Making System Based on Genetic Algorithms. In: Electronics, Communications and Computing: IC|ECCO-2021, Ed. 11, 21-22 octombrie 2021, Chişinău. Chișinău, Republica Moldova: Technical University of Moldova, 2021, Editia 11, pp. 161-164. ISBN 978-9975-45-776-7. DOI: https://doi.org/10.52326/ic-ecco.2021/CE.06 |
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| Electronics, Communications and Computing Editia 11, 2021 |
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Conferința "Electronics, Communications and Computing" 11, Chişinău, Moldova, 21-22 octombrie 2021 | ||||||
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| DOI:https://doi.org/10.52326/ic-ecco.2021/CE.06 | ||||||
| Pag. 161-164 | ||||||
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This thesis comprises the results of designing a distributed decision-making system in multi-criteria areas. The distributed decision-making system is the architecture of homogenous data-processing devices that form a Wireless network with Mesh topology. The decision-making process is based on finding an optimal solution that is implemented through the use of genetic algorithms. Aiming to identify the initial population of the genetic algorithm, there shall be calculated the partial derivative for each variable for the ordered process. The results of partial derivative serve as an identifier of values from the Chromosome structure. There have been developed in this thesis: general algorithm of system functioning; population structure formed of Chromosomes and Genes; methodology of calculation of component values of the initial population; and an example of implementation of the distributed decision-making system based on Node MCU ESP32 devices. |
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| Cuvinte-cheie distributed computing, decision-making systems, multi-criteria optimization, genetic algorithms |
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Dublin Core Export
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:oai_dc='http://www.openarchives.org/OAI/2.0/oai_dc/' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xsi:schemaLocation='http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd'> <dc:creator>Ţurcan, A.</dc:creator> <dc:creator>Borozan, O.</dc:creator> <dc:creator>Munteanu, S.</dc:creator> <dc:creator>Ababii, C.</dc:creator> <dc:creator>Nistiriuc, A.</dc:creator> <dc:creator>Şestacov, A.</dc:creator> <dc:creator>Strună, V.</dc:creator> <dc:creator>Lasco, V.</dc:creator> <dc:date>2021</dc:date> <dc:description xml:lang='en'><p>This thesis comprises the results of designing a distributed decision-making system in multi-criteria areas. The distributed decision-making system is the architecture of homogenous data-processing devices that form a Wireless network with Mesh topology. The decision-making process is based on finding an optimal solution that is implemented through the use of genetic algorithms. Aiming to identify the initial population of the genetic algorithm, there shall be calculated the partial derivative for each variable for the ordered process. The results of partial derivative serve as an identifier of values from the Chromosome structure. There have been developed in this thesis: general algorithm of system functioning; population structure formed of Chromosomes and Genes; methodology of calculation of component values of the initial population; and an example of implementation of the distributed decision-making system based on Node MCU ESP32 devices.</p></dc:description> <dc:source>Electronics, Communications and Computing (Editia 11) 161-164</dc:source> <dc:subject>distributed computing</dc:subject> <dc:subject>decision-making systems</dc:subject> <dc:subject>multi-criteria optimization</dc:subject> <dc:subject>genetic algorithms</dc:subject> <dc:title>Multi-Criteria Distributed Decision-Making System Based on Genetic Algorithms</dc:title> <dc:type>info:eu-repo/semantics/article</dc:type> </oai_dc:dc>
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