Google Optimization Tools (OR-Tools) has recently released versions 9.13 and 9.10, enhancing its capabilities as an open-source software suite specifically designed for tackling complex optimization challenges. This suite is particularly effective in areas such as vehicle routing, flow optimization, and both integer and linear programming, as well as constraint programming.

Users can model their problems in their preferred programming language and have the flexibility to utilize various solvers, including commercial options like Gurobi and CPLEX, as well as open-source alternatives such as SCIP, GLPK, Google's GLOP, and the award-winning CP-SAT solver. The suite offers a comprehensive range of tools, including:

- A constraint programming solver
- A linear programming solver
- Interfaces for both commercial and open-source solvers, accommodating mixed-integer problems
- Algorithms for bin packing and knapsack problems
- Solutions for the Traveling Salesman Problem and Vehicle Routing Problem
- Graph algorithms for shortest paths, minimum cost flow, maximum flow, and linear sum assignment

Developed in C++, OR-Tools includes wrappers for popular programming languages such as Python, C#, and Java, making it accessible to a wide variety of users. Detailed user guides and additional resources are available for download.

To extend the capabilities of OR-Tools, future updates could focus on incorporating more advanced machine learning techniques to improve the efficiency of optimization processes. Additionally, enhancing the integration with cloud platforms could allow for more scalable solutions, enabling users to tackle even larger and more complex problems seamlessly. Expanding the library of algorithms to include heuristic and metaheuristic approaches could also benefit users looking for solutions in highly dynamic or uncertain environments

Google Optimization Tools (OR-Tools) 9.13 / 9.10 released

Users can model their problems in their preferred programming language and have the flexibility to utilize various solvers, including commercial options like Gurobi and CPLEX, as well as open-source alternatives such as SCIP, GLPK, Google's GLOP, and the award-winning CP-SAT solver. The suite offers a comprehensive range of tools, including:

- A constraint programming solver
- A linear programming solver
- Interfaces for both commercial and open-source solvers, accommodating mixed-integer problems
- Algorithms for bin packing and knapsack problems
- Solutions for the Traveling Salesman Problem and Vehicle Routing Problem
- Graph algorithms for shortest paths, minimum cost flow, maximum flow, and linear sum assignment

Developed in C++, OR-Tools includes wrappers for popular programming languages such as Python, C#, and Java, making it accessible to a wide variety of users. Detailed user guides and additional resources are available for download.

To extend the capabilities of OR-Tools, future updates could focus on incorporating more advanced machine learning techniques to improve the efficiency of optimization processes. Additionally, enhancing the integration with cloud platforms could allow for more scalable solutions, enabling users to tackle even larger and more complex problems seamlessly. Expanding the library of algorithms to include heuristic and metaheuristic approaches could also benefit users looking for solutions in highly dynamic or uncertain environments

Google Optimization Tools (OR-Tools) 9.13 / 9.10 released @ MajorGeeks