JOURNAL ARTICLE

Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression

Jog, SachinVázquez, DanielSantos, Lucas F.Caballero, José A.Guillén-Gosálbez, Gonzalo

Year: 2024 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

This repository contains all the files used in the calculations of the paper "Hybrid analytical surrogate-based optimization via Bayesian symbolic regression" (https://doi.org/10.1016/j.compchemeng.2023.108563). Each zipped folder includes a Microsoft Office Word document describing the contents of the folder.

Keywords:
Bayesian optimization Bayesian probability Process (computing) Symbolic regression Optimization problem Process optimization Regression

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Topics

Advanced Multi-Objective Optimization Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Machine Learning in Materials Science
Physical Sciences →  Materials Science →  Materials Chemistry
Process Optimization and Integration
Physical Sciences →  Engineering →  Control and Systems Engineering
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