Linear model decision trees as surrogates in optimization of engineering applications-Reference-Cited by-同舟云学术

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Linear model decision trees as surrogates in optimization of engineering applications

Published:2023-10 Issue: Volume:178 Page:108347
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Ammari Bashar L.,Johnson Emma S.,Stinchfield Georgia,Kim Taehun,Bynum Michael,Hart William E.,Pulsipher Joshua,Laird Carl D.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference52 articles.

1. Strong mixed-integer programming formulations for trained neural networks;Anderson;Math. Program.,2020

2. B-POP: Bi-level parametric optimization toolbox;Avraamidou;Comput. Chem. Eng.,2019

3. A multi-parametric optimization approach for bilevel mixed-integer linear and quadratic programming problems;Avraamidou;Comput. Chem. Eng.,2019

4. An analytics approach to designing combination chemotherapy regimens for cancer;Bertsimas;Manage. Sci.,2016

5. Modular design optimization using machine learning-based flexibility analysis;Bhosekar;J. Process Control,2020

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