Detailed scheduling problems
IBM ILOG CPLEX CP Optimizer is a necessary and important complement to the optimization specialists' toolbox for solving real-world operational planning and scheduling problems—without a significant investment in R&D.
IBM ILOG CPLEX CP Optimizer contains a robust optimizer that handles the side constraints that are invariably found in all real-world problems. For pure academic problems (e.g., job-shop, open-shop and flow-shop), it finds solutions that are comparable to solutions found by state-of-the-art, specialized algorithms.
Combinatorial optimization problems
Certain combinatorial optimization problems cannot be easily linearized and solved with traditional mathematical programming methods. To handle these problems, IBM ILOG CPLEX CP Optimizer provides a large set of arithmetic and logical constraints, as well as a robust optimizer that brings all the benefits of a model-and-run development process to combinatorial optimization