Users can model their optimization problems using a programming language of their choice and utilize a variety of solvers to find solutions. OR-Tools supports both commercial solvers like Gurobi and CPLEX, as well as open-source alternatives such as SCIP, GLPK, and Google's own GLOP and the award-winning CP-SAT solver.
The suite includes several key components:
- A constraint programming solver
- A linear programming solver
- Interfaces for commercial and open-source mixed-integer solvers
- Algorithms for bin packing and knapsack problems
- Solutions for the Traveling Salesman Problem and Vehicle Routing Problem
- Graph algorithms that cover shortest paths, minimum cost flow, maximum flow, and linear sum assignment
Developed in C++, OR-Tools offers wrappers for popular programming languages such as Python, C#, and Java, making it accessible to a wide range of developers. Comprehensive user guides and additional downloads are available for those interested in leveraging this powerful optimization toolset.
To extend this information, it's worth noting the growing importance of optimization tools in various industries, including logistics, transportation, manufacturing, and telecommunications. As businesses increasingly seek to improve efficiency and reduce costs, solutions like OR-Tools can provide significant competitive advantages. The continuous development and release of new versions reflect the commitment to enhancing functionality and usability, keeping pace with the evolving needs of users in complex optimization scenarios. Furthermore, the open-source nature of OR-Tools allows for community contributions, fostering innovation and collaboration among developers and researchers in the field of optimization
Google Optimization Tools (OR-Tools) 9.15 released
Users can model their optimization problems using a programming language of their choice and utilize a variety of solvers to find solutions. OR-Tools supports both commercial solvers like Gurobi and CPLEX, as well as open-source alternatives such as SCIP, GLPK, and Google's own GLOP and the award-winning CP-SAT solver.
The suite includes several key components:
- A constraint programming solver
- A linear programming solver
- Interfaces for commercial and open-source mixed-integer solvers
- Algorithms for bin packing and knapsack problems
- Solutions for the Traveling Salesman Problem and Vehicle Routing Problem
- Graph algorithms that cover shortest paths, minimum cost flow, maximum flow, and linear sum assignment
Developed in C++, OR-Tools offers wrappers for popular programming languages such as Python, C#, and Java, making it accessible to a wide range of developers. Comprehensive user guides and additional downloads are available for those interested in leveraging this powerful optimization toolset.
To extend this information, it's worth noting the growing importance of optimization tools in various industries, including logistics, transportation, manufacturing, and telecommunications. As businesses increasingly seek to improve efficiency and reduce costs, solutions like OR-Tools can provide significant competitive advantages. The continuous development and release of new versions reflect the commitment to enhancing functionality and usability, keeping pace with the evolving needs of users in complex optimization scenarios. Furthermore, the open-source nature of OR-Tools allows for community contributions, fostering innovation and collaboration among developers and researchers in the field of optimizationGoogle Optimization Tools (OR-Tools) 9.15 released @ MajorGeeks
