Efficient Surrogate-Based Optimization of Prefractionation Column Using Self-Adaptive Kriging Model with Modified Firefly Algorithm

The optimization of distillation columns is critically important due to their substantial contribution to operational costs in the petrochemical industry. This paper introduces a computationally efficient surrogate-based optimization framework designed explicitly for prefractionation columns. To add...

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Veröffentlicht in:	Applied sciences Jg. 15; H. 22; S. 11962
Hauptverfasser:	Huang, Yifan, Jin, Qibing, Wang, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2025
Schlagworte:	Accuracy Algorithms Case studies Datasets distillation column Energy consumption Mathematical programming modified firefly algorithm Optimization algorithms Petroleum chemicals Process engineering self-adaptive Kriging model Simulation surrogate-based optimization Vacuum distillation
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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