scipopt.org

SCIP (Solving Constraint Integer Programs) is a leading non-commercial solver renowned for its efficiency in mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). Developed by the team at Zuse Institute Berlin (ZIB), SCIP offers an open-source framework that provides users with total control over the solution process, enabling detailed insights into the workings of the solver. The SCIP Optimization Suite includes essential tools such as GCG, SoPlex, ZIMPL, PaPILO, and UG, each contributing to a powerful ecosystem for tackling complex optimization problems.

With ongoing updates, including the latest SCIP version 9. 1. 0, users benefit from enhanced functionalities and various plugins tailored for MIP and MINLP solutions.

SCIP stands out in the academic and research communities for its adaptability and comprehensive documentation, making it an ideal choice for both novice and experienced users in optimization. Whether for teaching, research, or real-world applications, SCIP is committed to pushing the boundaries of optimization technology