Overview
IBM ILOG CPLEX CP Optimizer uses constraint programming technology to solve detailed scheduling problems and other hard combinatorial optimization problems
IBM ILOG CPLEX CP Optimizer handles the complexity of real-world scheduling problems for personnel, machines or process steps. IBM ILOG CPLEX CP Optimizer constraint programming solver enables model-and-run problem solving with robust constraint propagation and search algorithms.
Support business goals by optimizing earliness and tardiness costs, duration costs and non-execution costs
Model the work breakdown structure of the schedule, task dependencies as well as multiple production modes
Model finite capacity resources and reservoirs
Model setup times to compute schedules that define the best possible sizes for batches
Find optimized solutions to combinatorial optimization problems affecting your operations
IBM ILOG CPLEX CP Optimizer is a component of IBM ILOG CPLEX Optimization Studio, which combines and simplifies IBM’s product offerings for optimization model development, solving, and deployment. It offers in a single package, all the functionality that was previously available among an array of product and component configurations, making all tools and technologies available during prototyping and development.
IBM ILOG CPLEX Optimizer provides a complimentary optimization technology based on mathematical programming that provides flexible, high-performance solving linear programming, quadratic programming, quadratically constrained programming and mixed integer programming problems.
IBM ILOG CPLEX Optimization Studio 12.4 offers improved access to predictive analytics tools with the connector to IBM SPSS Modeler. The connector enables CPLEX Optimization Studio to read data directly from SPSS Modeler streams and to visualize SPSS streams in CPLEX Optimization Studio's integrated development environment. This makes an integrated modeling environment for prescriptive and predictive analytics available to professionals using multiple advanced techniques. The CPLEX Optimizers offer significant performance gains both for mathematical- and constraint-programming. Additional enhancements include computation of dual values for second-order cone constraints in quadratic models, used especially in finance applications, and deterministic parallel search for constraint programming models, used especially in detailed scheduling. A new component, IBM ILOG CPLEX Enterprise Server, provides the capability to deploy OPL projects in enterprise environments using a client-server architecture, separating the computationally intensive algorithms of the CPLEX Optimizers onto dedicated hardware to alleviate the burden on more routine data handling and user interface tasks on database servers and desktop clients.
- Operating systems supported: AIX, HP-UX, Linux, Other Operating Systems, Solaris (Sun microsystems), Windows family
