Hybrid Optimization Methods for Parameter Estimation of Reactive Transport Systems

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI:10.1016/j.ifacol.2025.07.139

Marcus Johan Schytt , Halldór Gauti Pétursson , John Bagterp Jørgensen

引用次数: 0

Abstract

This paper presents a hybrid optimization methodology for parameter estimation of reactive transport systems. Using reduced-order advection-diffusion-reaction (ADR) models, the computational requirements of global optimization with dynamic PDE constraints are addressed by combining metaheuristics with gradient-based optimizers. A case study in preparative liquid chromatography shows that the method achieves superior computational efficiency compared to traditional multi-start methods, demonstrating the potential of hybrid strategies to advance parameter estimation in large-scale, dynamic chemical engineering applications.

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无功输运系统参数估计的混合优化方法

提出了一种用于无功输运系统参数估计的混合优化方法。采用降阶平流-扩散-反应（ADR）模型，将元启发式算法与基于梯度的优化器相结合，解决了动态偏微分方程约束下全局优化的计算需求。制备液相色谱的实例研究表明，与传统的多启动方法相比，该方法具有更高的计算效率，证明了混合策略在大规模、动态化学工程应用中推进参数估计的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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