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

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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Bibliographic Details
Main Authors: Valeriya V. Tynchenko, Ivan Malashin, Sergei O. Kurashkin, Vadim Tynchenko, Andrei Gantimurov, Vladimir Nelyub, Aleksei Borodulin
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Future Internet
Subjects:
neural networks
distributed computing
multi-criteria optimization
evolutionary algorithms
performance optimization
Online Access:https://www.mdpi.com/1999-5903/17/5/215
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