Surrogate Based Mixed Integer Linear Programming Model for Decarbonization of an Integrated Gas-Oil Separation Network-Reference-Cited by-同舟云学术

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Surrogate Based Mixed Integer Linear Programming Model for Decarbonization of an Integrated Gas-Oil Separation Network

Published:2024 Issue: Volume: Page:2209-2214
ISSN:1570-7946
Container-title:Computer Aided Chemical Engineering
language:en
Short-container-title:

Author:

Bahamdan Abdullah,Shah Nilay,del Rio-Chanona Antonio

Publisher

Elsevier

Reference7 articles.

1. A Rigorous Mixed Integer Nonlinear Programming Model to Optimize the Operations of an Integrated Gas-Oil Separation Network;Al-Ghazal;The Aramco Journal of Technology,2020

2. Pyomo – Optimization Modeling in Python;Bynum,2021

3. OMLT: Optimization & Machine Learning Toolkit. In;Ceccon;Journal of Machine Learning Research,2022

4. Advances in mathematical programming models for enterprise-wide optimization;Grossmann;Computers and Chemical Engineering,2012

5. Advanced Optimization for Process Systems Engineering;Grossmann,2021

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