Multi-Criteria Genetic Algorithm for Optimizing Distributed Computing Systems in Neural Network Synthesis

Artificial neural networks (ANNs) are increasingly effective in addressing complex scientific and technological challenges. However, challenges persist in synthesizing neural network models and defining their structural parameters. This study investigates the use of parallel evolutionary algorithms...

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Auteurs principaux:	Valeriya V. Tynchenko, Ivan Malashin, Sergei O. Kurashkin, Vadim Tynchenko, Andrei Gantimurov, Vladimir Nelyub, Aleksei Borodulin
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-05-01
Collection:	Future Internet
Sujets:	neural networks distributed computing multi-criteria optimization evolutionary algorithms performance optimization
Accès en ligne:	https://www.mdpi.com/1999-5903/17/5/215
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