IBM ILOG CPLEX CP Optimizer

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 IBMs 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.
• Latest version: IBM ILOG CPLEX Optimization Studio 12.3 offers access to predictive analytics tools by providing a connector to IBM SPSS Modeler. The ability to execute Modeler streams directly from CPLEX Studio makes an integrated modeling environment for prescriptive and predictive analytics available to professionals using multiple advanced techniques. CPLEX Studio also extends its reach to developers using Linux on Intel compatible processors by making available the IDE on this platform. The CPLEX Optimizers offer significant performance gains both for mathematical- and constraint-programming. Additional enhancements include support for solving very large models (> 2 billion non-zero elements), capabilities to solve quadratic programs with non-convex objective functions, and capabilities to solve scheduling problems with non-convex objectives and constraint programs with multiple objective functions.
• Operating systems supported: AIX, HP-UX, Linux, Other Operating Systems, Solaris (Sun microsystems), Windows family

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