Optimization of coal chemical process parameters and energy saving and emission reduction based on genetic algorithm

Pubblicato online: 05 ago 2024

Ricevuto: 10 apr 2024

Accettato: 09 lug 2024

DOI: https://doi.org/10.2478/amns-2024-2212

Parole chiave

<kwd>Aspen Plus software</kwd>, <kwd>Monte Carlo method simulation</kwd>, <kwd>Multi-objective optimization</kwd>, <kwd>Genetic algorithm NSGA-Ⅱ</kwd>, <kwd>Coal chemical process parameters</kwd>

© 2024 Xiang Song, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.