/Simple_Linear_Programming_with_CPLEX

Simple Linear Programming with CPLEX

Primary LanguagePythonApache License 2.0Apache-2.0

Simple Linear Programming with CPLEX

IBM ILOG CPLEX Optimizer is a tool for solving linear optimization problems, commonly referred to as Linear Programming (LP) problems.
The CPLEX Python API is a Python package named cplex that allows the Callable Library to be accessed from the Python programming language. It is equally suitable for interactive use through the Python interpreter or for writing scripts or full-fledged applications.

stream node

Configure CPLEX

This extension dependent on:

  • IBM ILOG CPLEX Optimizer 12.7
  • Python 2.7

Refer to cplex_instruction.md for CPLEX configure.

Limitation Data

Limitation Data provide constrain data for Simple Linear Programming problem.

  • Use "LIMITATION" as variable name, and define it with array, tuple
  • Each element define a name, min value, max value
  • name is the variable name choosed for constrain
  • min,max define constrain variable range

Example:

# encoding=utf-8
LIMITATION = [
    ("肥料_Fertilizer", 1, 2500),
    ("农药_Farm_chemical", 1, 1600)
]

Requirements

  • IBM SPSS Modeler v18
  • Anaconda python 2.7

More information here: IBM Predictive Extensions

Requirements

Python package dependent

  • pandas
  • collections
  • docplex
  • json

License

Apache 2.0

Contributors