Optimization solvers help improve decision-making around planning, allocating and scheduling scarce resources. They embed powerful algorithms that can solve mathematical programming models, constraint programming and constraint-based scheduling models.
IBM CPLEX® Optimizer solvers can find answers for linear programming, mixed integer programming, quadratic programming and quadratically constrained programming problems.
For detailed scheduling problems, IBM offers solvers designed for constraint-based scheduling models. For combinatorial problems such as a configuration or packing issue, you can build constraint programming models to solve them. And you can try the solvers at no charge.
Solve detailed scheduling problems and combinatorial optimization problems.
Leverage optimization software that can deliver prescriptive capabilities to recommend a best-action plan for complex decisions.
Solve planning and scheduling problems, using modeling tools and solvers to make better business decisions.
Drive innovative solutions to business problems by combining optimization with other data science techniques in IBM Watson® Studio.