A generalized cutting‐set approach for nonlinear robust optimization in process systems engineering-Reference-Cited by-同舟云学术

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A generalized cutting‐set approach for nonlinear robust optimization in process systems engineering

Published:2021-02-11 Issue:5 Volume:67 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J

Author:

Isenberg Natalie M.¹,Akula Paul²,Eslick John C.³,Bhattacharyya Debangsu²,Miller David C.³,Gounaris Chrysanthos E.¹^ORCID

Affiliation:

1. Department of Chemical Engineering Carnegie Mellon University Pittsburgh Pennsylvania USA

2. Department of Chemical and Biomedical Engineering West Virginia University Morgantown West Virginia USA

3. The National Energy Technology Laboratory Pittsburgh Pennsylvania USA

Funder

U.S. Department of Energy

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17175

Reference60 articles.

1. Optimum design of chemical plants with uncertain parameters

2. Novel approach for optimal process design under uncertainty

3. Stochastic optimization based algorithms for process synthesis under uncertainty

4. Nonlinear Chance-Constrained Process Optimization under Uncertainty

5. An index for operational flexibility in chemical process design. Part I: Formulation and theory

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1. Recent Advances of PyROS: A Pyomo Solver for Nonconvex Two-Stage Robust Optimization in Process Systems Engineering;Systems and Control Transactions;2024-07-09

2. Computational toolkits for model-based design and optimization;Current Opinion in Chemical Engineering;2024-03

3. Feasibility/Flexibility-based optimization for process design and operations;Computers & Chemical Engineering;2024-01

4. Graphical Deterministic Equivalent Algorithm for Robust Process Optimization;Computer Aided Chemical Engineering;2024

5. Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow;SIAM Journal on Optimization;2023-10-16

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