Google OR-Tools is an open-source software suite for solving optimization problems, developed by Google AI. It provides powerful tools for tackling combinatorial optimization problems, such as:
- Linear programming (LP)
- Integer programming (IP)
- Mixed-integer programming (MIP)
- Constraint programming (CP)
- Routing problems (e.g., Vehicle Routing Problem – VRP, Traveling Salesman Problem – TSP)
- Graph optimization
OR-Tools supports multiple solvers, including SCIP, Gurobi, CPLEX, and Google’s own solvers like GLOP for linear programming and CP-SAT for constraint programming. It is available in multiple languages, including Python, C++, Java, and C#, making it accessible for a wide range of developers.
Key Features:
✅ Efficient solvers for various optimization problems
✅ Multi-language support (Python, C++, Java, C#)
✅ Integration with third-party solvers
✅ Scalability to handle complex, real-world problems
✅ Easy-to-use APIs for quick problem modeling
Google OR-Tools is widely used in logistics, supply chain management, operations research, and AI-driven decision-making. It is free to use under the Apache 2.0 license.
