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New mathematical models for DCS performance and reliability are proposed, based on a mass service system framework, along with a multi-criteria optimization model designed for resource-intensive computational problems. This model employs a multi-criteria GA to generate a diverse set of Pareto-optimal solutions. Additionally, a decision-support system is developed, incorporating the multi-criteria GA, allowing for customization of the genetic algorithm (GA) and the construction of specialized ANNs for specific problem domains. The application of the decision-support system (DSS) demonstrated performance of 1220.745 TFLOPS and an availability factor of 99.03%. These findings highlight the potential of the proposed DCS framework to enhance computational efficiency in relevant applications.<\/jats:p>","DOI":"10.3390\/fi17050215","type":"journal-article","created":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T09:26:48Z","timestamp":1747128408000},"page":"215","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Multi-Criteria Genetic Algorithm for Optimizing Distributed Computing Systems in Neural Network Synthesis"],"prefix":"10.3390","volume":"17","author":[{"given":"Valeriya V.","family":"Tynchenko","sequence":"first","affiliation":[{"name":"Department of Production Machinery and Equipment for Petroleum and Natural Gas Engineering, Siberian Federal University, 660041 Krasnoyarsk, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8986-402X","authenticated-orcid":false,"given":"Ivan","family":"Malashin","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4017-4369","authenticated-orcid":false,"given":"Sergei O.","family":"Kurashkin","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3959-2969","authenticated-orcid":false,"given":"Vadim","family":"Tynchenko","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrei","family":"Gantimurov","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4263-2367","authenticated-orcid":false,"given":"Vladimir","family":"Nelyub","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia"},{"name":"Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9648-2395","authenticated-orcid":false,"given":"Aleksei","family":"Borodulin","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"122877","DOI":"10.1016\/j.jclepro.2020.122877","article-title":"Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future","volume":"274","author":"Patrono","year":"2020","journal-title":"J. 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