May 26, 2018

Python Optimization Modeling Objects

Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models.

Modeling optimization applications is a core capability of Pyomo. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Thus, Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, but Pyomo’s modeling objects are embedded within a full-featured high-level programming language with a rich set of supporting libraries. Pyomo supports a wide range of problem types, including

  • Linear programming
  • Quadratic programming
  • Nonlinear programming
  • Mixed-integer linear programming
  • Mixed-integer quadratic programming
  • Mixed-integer nonlinear programming
  • Mixed-integer stochastic programming
  • Generalized disjunctive programming
  • Differential algebraic equations
  • Bilevel programming
  • Mathematical programming with equilibrium constraints

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