Genetic Algorithm Flowchart.

<div><p>Electric energy storage systems have advanced significantly in recent years, driven by the growing expansion of renewable energy sources, the rise of electromobility, and other emerging configurations within the current electrical energy system. Among the various energy storage t...

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Bibliographic Details
Main Author:	Filipe Menezes (13205305) (author)
Other Authors:	Sérgio Cunha (21736375) (author), William Assis (21736378) (author), Allan Manito (21736381) (author), Reinaldo Leite (21736384) (author), Thiago Soares (6148289) (author), Hugo Lott (21736387) (author)
Published:	2025
Subjects:	Medicine Genetics Biotechnology Biological Sciences not elsewhere classified Information Systems not elsewhere classified software well validated renewable energy sources present work aims hybrid storage systems gained considerable attention emerging configurations within deliver large amounts computational electrical modeling actual physical behavior electrical circuit models electrical circuit model response using psim response using ga digital twin system electrical circuit digital twin psim simulation physical phenomenon good response useful life short periods recent years parameter optimization optimal adjustment obtain responses numerous applications low errors highly effective growing expansion genetic algorithm ga adjustment ga ), estimate optimally discharge curves computer simulation advanced significantly
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Genetic Algorithm Flowchart.

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