7. Modeling Languages for MindOpt

This chapter describes how to use various modeling languages to formulate real-world decision-making problems into optimization problems and solve them with the MindOpt solver.

• 7.1. MindOpt APL
  • 7.1.1. Try MAPL Locally
  • 7.1.2. Try MAPL on the Cloud
  • 7.1.3. Set MindOpt Parameters with MAPL
  • 7.1.4. An Example of MAPL
    • 7.1.4.1. Problem Description
    • 7.1.4.2. MindOpt APL Modeling
    • 7.1.4.3. Invoking MindOpt
• 7.2. AMPL
  • 7.2.1. Install mindoptampl
  • 7.2.2. Install AMPL
  • 7.2.3. Parameters and Return Values
  • 7.2.4. An Example of AMPL Calling MindOpt
• 7.3. Pyomo
  • 7.3.1. Install Pyomo
  • 7.3.2. Pyomo Interface
    • 7.3.2.1. Pyomo Direct Interface
    • 7.3.2.2. Pyomo Persistent Interface
  • 7.3.3. SOS Function
  • 7.3.4. Callback Function
  • 7.3.5. Modeling Example: mdo_pyomo_lo_ex1
• 7.4. PuLP
  • 7.4.1. Install PuLP
  • 7.4.2. PuLP Interface
  • 7.4.3. Modeling Example: mdo_pulp_lo_ex1
• 7.5. JuMP
  • 7.5.1. Install JuMP
  • 7.5.2. JuMP Interface
    • 7.5.2.1. Execution on Windows Platform
    • 7.5.2.2. Execution on Linux and macOS
  • 7.5.3. Modeling Example: jump_lp_ex1