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

Aug 05, 2024

Optimization of coal chemical process parameters and energy saving and emission reduction based on genetic algorithm's Cover Image

Applied Mathematics and Nonlinear Sciences

Volume 9 (2024): Issue 1 (January 2024)

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Published Online: Aug 05, 2024

Received: Apr 10, 2024

Accepted: Jul 09, 2024

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

Keywords
<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.

Song, Xiang

Department of Resources and Chemical Engineering, Lu’an Vocational and Technical CollegeChangzhi, China

Language:: English

Publication timeframe:: 1 times per year
Journal Subjects:: Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other

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