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.
This extension dependent on:
- IBM ILOG CPLEX Optimizer 12.7
- Python 2.7
Refer to cplex_instruction.md for CPLEX configure.
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 nameis the variable name choosed for constrainmin,maxdefine constrain variable range
Example:
# encoding=utf-8
LIMITATION = [
("肥料_Fertilizer", 1, 2500),
("农药_Farm_chemical", 1, 1600)
]
- IBM SPSS Modeler v18
- Anaconda python 2.7
More information here: IBM Predictive Extensions
Python package dependent
- pandas
- collections
- docplex
- json
- Yu Wenpei (mail)