The advent of the deep learning evolutionary algorithm EvoDN2 and its recent applications

The evolutionary deep learning algorithm EvoDN2 is an emerging strategy for data-driven intelligent learning and many-objective optimisation capable of handling a large volume of noisy and non-linear data. This article provides the essential details of this algorithm and highlights a number of its recent applications.

Authors

Publication Details

Journal
Computer Methods in Materials Science.
Published
2025-01-01
DOI
https://doi.org/10.7494/cmms.2025.2.1021
Citations
2
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
4.96
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article

The advent of the deep learning evolutionary algorithm EvoDN2 and its recent applications

Nirupam Chakraborti
2 citations
Computer Methods in Materials Science.
Neural Networks and Applications
4.96
article

The advent of the deep learning evolutionary algorithm EvoDN2 and its recent applications

Nirupam Chakraborti
article en
2 citations

Abstract

The evolutionary deep learning algorithm EvoDN2 is an emerging strategy for data-driven intelligent learning and many-objective optimisation capable of handling a large volume of noisy and non-linear data. This article provides the essential details of this algorithm and highlights a number of its recent applications.

Computer Methods in Materials Science.
Openalex Percentile: Top 5%
Neural Networks and Applications
4.96
DOIOpen Access PDFOpenAlex
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The advent of the deep learning evolutionary algorithm EvoDN2 and its recent applications — Nirupam Chakraborti · Computer Methods in Materials Science. (2025) | TGRS Research Map | TGRS