John D. Siirola

According to our database, John D. Siirola authored at least 18 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A mixed integer linear programming approach for the design of chemical process families.

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

Comput. Chem. Eng., 2024

2023

A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty.

Bernard Knueven, David T. Mildebrath, Christopher Muir, John D. Siirola, Jean-Paul Watson, David L. Woodruff

Math. Program. Comput., December, 2023

Applications of the Dulmage-Mendelsohn decomposition for debugging nonlinear optimization problems.

Robert B. Parker, Bethany Nicholson, John D. Siirola, Lorenz T. Biegler

Comput. Chem. Eng., October, 2023

Scalable Parallel Nonlinear Optimization with PyNumero and Parapint.

Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany Nicholson, John D. Siirola, Michael Bynum

INFORMS J. Comput., 2023

2022

Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems.

Can Li, Antonio J. Conejo, Peng Liu, Benjamin P. Omell, John D. Siirola, Ignacio E. Grossmann

Eur. J. Oper. Res., 2022

An implicit function formulation for optimization of discretized index-1 differential algebraic systems.

Robert B. Parker, Bethany Nicholson, John D. Siirola, Carl D. Laird, Lorenz T. Biegler

Comput. Chem. Eng., 2022

2021

Pyosyn: A new framework for conceptual design modeling and optimization.

Qi Chen, Yunshan Liu, Grant Seastream, John D. Siirola, Ignacio E. Grossmann

Comput. Chem. Eng., 2021

2020

SUSPECT: MINLP special structure detector for Pyomo.

Francesco Ceccon, John D. Siirola, Ruth Misener

Optim. Lett., 2020

2018

pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations.

Bethany Nicholson, John D. Siirola, Jean-Paul Watson, Victor M. Zavala, Lorenz T. Biegler

Math. Program. Comput., 2018

A framework for modeling and optimizing dynamic systems under uncertainty.

Bethany Nicholson, John D. Siirola

Comput. Chem. Eng., 2018

2015

Foreword.

Mario R. Eden, John D. Siirola, Gavin P. Towler

Comput. Chem. Eng., 2015

2013

Block-oriented modeling of superstructure optimization problems.

Zev Friedman, Jack Ingalls, John D. Siirola, Jean-Paul Watson

Comput. Chem. Eng., 2013

2012

A stochastic programming approach for gas detector placement using CFD-based dispersion simulations.

Sean Legg, A. J. Benavides-Serrano, John D. Siirola, Jean-Paul Watson, S. G. Davis, Are Bratteteig, Carl D. Laird

Comput. Chem. Eng., 2012

2011

A multi-paradigm modeling framework for energy systems simulation and analysis.

Bri-Mathias S. Hodge, Shisheng Huang, John D. Siirola, Joseph F. Pekny, Gintaras V. Reklaitis

Comput. Chem. Eng., 2011

2007

Polymorphic optimization.

John D. Siirola, Steinar Hauan

Comput. Chem. Eng., 2007

2005

RPI: A remote process interface library for distributed clusters.

John D. Siirola, Steinar Hauan

Comput. Chem. Eng., 2005

2004

Computing Pareto fronts using distributed agents.

John D. Siirola, Steinar Hauan, Arthur Westerberg

Comput. Chem. Eng., 2004

2003

Toward agent-based process systems engineering: proposed framework and application to non-convex optimization.

John D. Siirola, Steinar Hauan, Arthur Westerberg

Comput. Chem. Eng., 2003