RSM and ANN modeling for electrocoagulation of copper from simulated wastewater: Multi objective optimization using genetic algorithm approach

Article ID	Journal	Published Year	Pages	File Type
625110	Desalination	2011	7 Pages	PDF

Abstract

âº Response surface and artificial neural network approach is used for modeling. âº Electrocoagulation optimization is studied using MATLAB genetic algorithm toolbox. âº Pareto optimal front is generated to give insight for best operating conditions.

Keywords

ANN-GA Multi-objective optimization Response surface methodology Artificial Neural Network Center composite design Pareto front

Related Topics

Physical Sciences and Engineering Chemical Engineering Filtration and Separation

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RSM and ANN modeling for electrocoagulation of copper from simulated wastewater: Multi objective optimization using genetic algorithm approach

Authors

Manpreet S. Bhatti, Dhriti Kapoor, Rajeev K. Kalia, Akepati S. Reddy, Ashwani K. Thukral,