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Publications

These publications describe various Pyomo capabilities or subpackages:

[Pyomo-paper]William E. Hart, Jean-Paul Watson, David L. Woodruff. "Pyomo: modeling and solving mathematical programs in Python," Mathematical Programming Computation, 3(3), August 2011.
[PyomoBookI]William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff. Pyomo – Optimization Modeling in Python, Springer Optimization and Its Applications, Vol 67. Springer. 2012.
[PyomoBookII]William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson, John D. Siirola. Pyomo - Optimization Modeling in Python, 2nd Edition. Springer Optimization and Its Applications, Vol 67. Springer. 2017.
[PyomoBookIII]Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson, and David L. Woodruff. Pyomo - Optimization Modeling in Python, 3rd Edition. Vol. 67. Springer. 2021. DOI 10.1007/978-3-030-68928-5
[PyomoDAE-paper]Bethany Nicholson, John D. Siirola, Jean-Paul Watson, Victor M. Zavala, and Lorenz T. Biegler. "pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations", Mathematical Programming Computation, 10(2), 187-223. 2018.
[PyomoDOE-paper]Wang, Jialu, and Alexander W. Dowling. "Pyomo.DOE: An open‐source package for model‐based design of experiments in Python", AIChE Journal, 68(12), e17813. 2022. DOI 10.1002/aic.17813
[Parmest-paper]Katherine A. Klise, Bethany L. Nicholson, Andrea Staid, David L.Woodruff. "Parmest: Parameter Estimation Via Pyomo." Computer Aided Chemical Engineering, 47, 41-46. 2019.
[PyomoGDP-paper]Qi Chen, Emma S. Johnson, David E. Bernal, Romeo Valentin, Sunjeev Kale, Johnny Bates, John D. Siirola, and Ignacio E. Grossmann. "Pyomo.GDP: an ecosystem for logic based modeling and optimization development." Optimization and Engineering, 1-36. 2021. DOI 10.1007/s11081-021-09601-7
[PyomoGDP-proceedings]Qi Chen, Emma S. Johnson, John D. Siirola, and Ignacio E. Grossmann. "Pyomo.GDP: Disjunctive Models in Python." In M. R. Eden, M. G. Ierapetritou, and G. P. Towler (Eds.), Proceedings of the 13th International Symposium on Process Systems Engineering, 889–894, 2018. DOI 10.1016/B978-0-444-64241-7.50143-9

Bibliography

[AIMMS]http://www.aimms.com/
[AM00]O. Abel and W. Marquardt, "Scenario-integrated modeling and optimization of dynamic systems", AIChE Journal, 46(4). 2000.
[Bal85]E. Balas. "Disjunctive Programming and a Hierarchy of Relaxations for Discrete Optimization Problems", SIAM Journal on Algebraic Discrete Methods, 6(3), 466–486, 1985. DOI 10.1137/0606047
[BJ72]E. Balas and R. Jeroslow. "Canonical Cuts on the Unit Hypercube", SIAM Journal on Applied Mathematics 23(1), 61-19, 1972. DOI 10.1137/0123007
[BS04]D. Bertsimas and M. Sim. "The price of robustness", Operations research, 52(1), 35-53, 2004. DOI 10.1287/opre.1030.0065.
[Dje20]H. Djelassi. "Discretization-based algorithms for the global solution of hierarchical programs". Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2020. DOI 10.18154/RWTH-2020-09163.
[FGK02]R. Fourer, D. M. Gay, and B. W. Kernighan. AMPL: A Modeling Language for Mathematical Programming, 2nd Edition, Duxbury Press, 2002.
[GAMS]http://www.gams.com
[GLM99]A. Grothey, S. Leyffer, and K. I. M. McKinnon. "A note on feasibility in Benders Decomposition", Numerical Analysis Report NA/188, Dundee University. 1999.
[GT13]I. E. Grossmann and F. Trespalacios. "Systematic modeling of discrete-continuous optimization models through generalized disjunctive programming", AIChE Journal, 59(9), 3276–3295. 2013. DOI 10.1002/aic.14088
[HG83]K. P. Halemane and I. E. Grossmann. "Optimal process design under uncertainty", AIChE Journal, 29(3), 425--433. 1983. DOI 10.1002/aic.690290312
[IAE+21]N. M. Isenberg, P. Akula, J. C. Eslick, D. Bhattacharyya, D. C. Miller, and C. E. Gounaris. "A generalized cutting‐set approach for nonlinear robust optimization in process systems engineering", AIChE Journal, 67:e17175. 2021. DOI 10.1002/aic.17175
[KMM+23]B. Knueven, D. Mildebrath, C. Muir, J. D. Siirola, J.-P. Watson, and D. L. Woodruff. "A Parallel Hub-and-Spoke System for Large-Scale Scenario-Based Optimization Under Uncertainty", Math Programming Computation, 15, 591-619. 2023. DOI 10.1007/s12532-023-00247-3
[KMT21]J. Kronqvist, R. Misener, and C. Tsay. "Between Steps: Intermediate Relaxations between big-M and Convex Hull Reformulations". 2021. https://arxiv.org/abs/2101.12708
[MHJ+25]M. Mundt, W. E. Hart, E. S. Johnson, B. Nicholson, and J. D. Siirola. "Pyomo: Accidentally outrunning the bear", Patterns, 6(7), 101311. 2025. ISSN 2666-3899. DOI 10.1016/j.patter.2025.101311
[NW88]G. L. Nemhauser and L. A. Wolsey. Integer and combinatorial optimization, New York: Wiley. 1988.
[RB01]W. C. Rooney and L. T. Biegler. "Design for model parameter uncertainty using nonlinear confidence regions", AIChE Journal, 47(8). 2001. DOI 10.1002/aic.690470811
[RG94]R. Raman and I. E. Grossmann. "Modelling and computational techniques for logic based integer programming", Computers and Chemical Engineering, 18(7), 563–578. 1994. DOI 10.1016/0098-1354(93)E0010-7
[SG03]N. W. Sawaya and I. E. Grossmann. "A cutting plane method for solving linear generalized disjunctive programming problems", Computer Aided Chemical Engineering, 15(C), 1032–1037. 2003. DOI 10.1016/S1570-7946(03)80444-3
[SIS+26]J. A. F. Sherman, N. M. Isenberg, J. D. Siirola, and C. E. Gounaris. "PyROS: The Pyomo Robust Optimization Solver". Optimization Online, Preprint. 2026. https://optimization-online.org/2026/06/pyros-the-pyomo-robust-optimization-solver/
[TG15]F. Trespalacios and I. E. Grossmann. "Improved Big-M reformulation for generalized disjunctive programs", Computers and Chemical Engineering, 76, 98–103. 2015. DOI 10.1016/j.compchemeng.2015.02.013
[VAN10]J. P. Vielma, S. Ahmed, and G. Nemhauser. "Mixed-Integer Models for Non-separable Piecewise Linear Optimization: Unifying framework and Extensions", Operations Research 58(2), 303-315. 2010.
[Vie15]J. P. Vielma. "Mixed Integer Linear Programming Formluation Techniques", SIAM Review, 57(1), 3-57. 2015. DOI 10.1137/130915303
[YLH18]Y. Yuan, Z. Li, and B. Huang. "Nonlinear robust optimization for process design", AIChE Journal, 64(2), 481--494. 2018. DOI 10.1002/aic.15950
[NW99]Nocedal, Jorge, and Stephen J. Wright, eds. Numerical optimization. New York, NY: Springer New York, 1999.