Python provides interfaces to the ZIB Optimization Suite.
Python-zibopt is a software library specifically designed for generating and solving Mixed Integer Programs in Python 2.6, which utilizes SCIP and SoPlex. Its main objective is to allow programmers to develop smooth integration between two environments, facilitating the solver of MIPs using Python's various data access conveniences and manipulations, among others.
The library has been thoroughly tested and verified against SCIP 1.2, and the development continues with this particular release. It provides example scripts for solving IPs, but for those who prefer a quick solution, there is a brief example available as well.
With Python-zibopt, users can easily work with three integer variables, wherein objective coefficients play a crucial role in the overall solution. Additionally, all variables have default lower bounds of 0, thus allowing for greater control over the final outcome.
The library has been thoroughly tested and verified against SCIP 1.2, and the development continues with this particular release. It provides example scripts for solving IPs, but for those who prefer a quick solution, there is a brief example available as well.
With Python-zibopt, users can easily work with three integer variables, wherein objective coefficients play a crucial role in the overall solution. Additionally, all variables have default lower bounds of 0, thus allowing for greater control over the final outcome.
What's New
Version 0.3-r80: N/A