Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting

Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting

Abstract This research proposes the use of hybrid machine learning methods to mimic dye removal efficiency. Hyperparameter tuning via differential evolution (DE), genetic algorithm (GA), random search (RS), and grid search (GS) with the XGBoost model was conducted to achieve more accurate results. T...

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Bibliographic Details
Main Authors: Tiyasha Tiyasha, Chijioke Elijah Onu, Mohamed A. Ismail, Rama Rao Karri, Abdelfattah Amari, Vinay Kumar, Suraj Kumar Bhagat
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Big Data
Subjects:
Dye removal
Wastewater treatment
Machine learning
Prediction
Online Access:https://doi.org/10.1186/s40537-025-01110-z
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https://doi.org/10.1186/s40537-025-01110-z

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