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ORCIDJohn D. Siirola
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Journal Articles
- 2024
[j18]Georgia Stinchfield, Joshua C. Morgan, Sakshi Naik, Lorenz T. Biegler
, John C. Eslick, Clas Jacobson, David C. Miller, John D. Siirola, Miguel A. Zamarripa, Chen Zhang, Qi Zhang, Carl D. Laird:
A mixed integer linear programming approach for the design of chemical process families. Comput. Chem. Eng. 183: 108620 (2024)- 2023
- [j17]Robert B. Parker, Bethany Nicholson, John D. Siirola, Lorenz T. Biegler:
Applications of the Dulmage-Mendelsohn decomposition for debugging nonlinear optimization problems. Comput. Chem. Eng. 178: 108383 (2023) - [j16]Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany Nicholson, John D. Siirola, Michael Bynum:
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint. INFORMS J. Comput. 35(2): 509-517 (2023) - [j15]Bernard Knueven, David T. Mildebrath, Christopher Muir, John D. Siirola, Jean-Paul Watson, David L. Woodruff:
A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty. Math. Program. Comput. 15(4): 591-619 (2023) - 2022
- [j14]Robert B. Parker, Bethany Nicholson, John D. Siirola, Carl D. Laird, Lorenz T. Biegler:
An implicit function formulation for optimization of discretized index-1 differential algebraic systems. Comput. Chem. Eng. 168: 108042 (2022) - [j13]Can Li, Antonio J. Conejo, Peng Liu, Benjamin P. Omell, John D. Siirola, Ignacio E. Grossmann:
Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems. Eur. J. Oper. Res. 297(3): 1071-1082 (2022) - 2021
- [j12]Qi Chen, Yunshan Liu, Grant Seastream, John D. Siirola, Ignacio E. Grossmann:
Pyosyn: A new framework for conceptual design modeling and optimization. Comput. Chem. Eng. 153: 107414 (2021) - 2020
- [j11]Francesco Ceccon, John D. Siirola, Ruth Misener:
SUSPECT: MINLP special structure detector for Pyomo. Optim. Lett. 14(4): 801-814 (2020) - 2018
- [j10]Bethany Nicholson, John D. Siirola:
A framework for modeling and optimizing dynamic systems under uncertainty. Comput. Chem. Eng. 114: 81-88 (2018) - [j9]Bethany Nicholson, John D. Siirola, Jean-Paul Watson, Victor M. Zavala, Lorenz T. Biegler:
pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations. Math. Program. Comput. 10(2): 187-223 (2018) - 2015
- [j8]Mario R. Eden, John D. Siirola, Gavin P. Towler:
Foreword. Comput. Chem. Eng. 81: 1 (2015) - 2013
- [j7]Zev Friedman, Jack Ingalls, John D. Siirola, Jean-Paul Watson:
Block-oriented modeling of superstructure optimization problems. Comput. Chem. Eng. 57: 10-23 (2013) - 2012
- [j6]Sean Legg, A. J. Benavides-Serrano, John D. Siirola, Jean-Paul Watson, S. G. Davis, Are Bratteteig, Carl D. Laird:
A stochastic programming approach for gas detector placement using CFD-based dispersion simulations. Comput. Chem. Eng. 47: 194-201 (2012) - 2011
- [j5]Bri-Mathias S. Hodge, Shisheng Huang, John D. Siirola, Joseph F. Pekny, Gintaras V. Reklaitis:
A multi-paradigm modeling framework for energy systems simulation and analysis. Comput. Chem. Eng. 35(9): 1725-1737 (2011) - 2007
- [j4]John D. Siirola, Steinar Hauan:
Polymorphic optimization. Comput. Chem. Eng. 31(10): 1312-1325 (2007) - 2005
- [j3]John D. Siirola, Steinar Hauan:
RPI: A remote process interface library for distributed clusters. Comput. Chem. Eng. 29(8): 1815-1821 (2005) - 2004
- [j2]John D. Siirola, Steinar Hauan, Arthur Westerberg:
Computing Pareto fronts using distributed agents. Comput. Chem. Eng. 29(1): 113-126 (2004) - 2003
- [j1]John D. Siirola, Steinar Hauan, Arthur Westerberg:
Toward agent-based process systems engineering: proposed framework and application to non-convex optimization. Comput. Chem. Eng. 27(12): 1801-1811 (2003)
Coauthor Index
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