Pyomo -- optimization modeling in Python

DOI10.1007/978-1-4614-3226-5zbMath1233.90002OpenAlexW4297688559MaRDI QIDQ5894511

Jean-Paul Watson, William E. Hart, David L. Woodruff, Carl D. Laird

Publication date: 14 February 2012

Published in: Springer Optimization and Its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4614-3226-5

Mathematics Subject Classification ID

Symbolic computation and algebraic computation (68W30) Applications of mathematical programming (90C90) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming (90-01) General theory of mathematical modeling (00A71) Software, source code, etc. for problems pertaining to operations research and mathematical programming (90-04)

Related Items (29)

\texttt{pyomo.dae}: a modeling and automatic discretization framework for optimization with differential and algebraic equations ⋮ New bounding and decomposition approaches for MILP investment problems: multi-area transmission and generation planning under policy constraints ⋮ Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution ⋮ Forward thresholds for operation of pumped-storage stations in the real-time energy market ⋮ PySP: modeling and solving stochastic programs in Python ⋮ The supporting hyperplane optimization toolkit for convex MINLP ⋮ Robust optimal discrete arc sizing for tree-shaped potential networks ⋮ A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty ⋮ A principal-agent problem with heterogeneous demand distributions for a carbon capture and storage system ⋮ Mixed-integer programming models for optimal constellation scheduling given cloud cover uncertainty ⋮ Sample average approximation for the continuous type principal-agent problem ⋮ Integer programming ensemble of temporal relations classifiers ⋮ Stochastic programming approach for energy management in electric microgrids ⋮ Efficient parallel solution of large-scale nonlinear dynamic optimization problems ⋮ RBFOpt: an open-source library for black-box optimization with costly function evaluations ⋮ Optimal placement of wireless charging lanes in road networks ⋮ Decomposition-based inner- and outer-refinement algorithms for global optimization ⋮ A scalable solution framework for stochastic transmission and generation planning problems ⋮ Pyomo ⋮ APLEpy ⋮ COOPR ⋮ OpenOpt ⋮ OptimJ ⋮ PuLP ⋮ PyGlpk ⋮ pyipopt ⋮ PySP ⋮ Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization ⋮ Modeling, analyzing and controlling hybrid systems by guarded flexible nets

Uses Software

• AMPL
• AIMMS
• FlopC++
• Python

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