Product overview

IBM® ILOG® CPLEX® Optimization Studio offers rapid development and deployment of optimization models through debugging, testing, tuning and application generation.

CPLEX Optimization Studio provides the most efficient way to build optimization and constraint programming models for planning and scheduling. With its integrated development environment (IDE), descriptive modeling language, and solving algorithms, it supports the entire model development process.

• The OPL modeling language and the IDE enable you to develop, debug, test, and tune optimization models.
• CPLEX Optimizers offer C, C++, Java™, .NET, and Python libraries that solve mathematical programming (MP) problems. CPLEX also includes a MATLAB connector.
• CP Optimizer offers C++, Java, and .NET libraries that solve constraint programming (CP) problems.
• DOcplex, a Python modeling layer for both CPLEX and CP Optimizers.
• Data and run management: Model/data separation allows a model to switch between data sources facilitating migration through test and deployment phases.
• Conflict detection/display and recommended conflict resolution: Detect and display conflicting constraints in infeasible models using the CPLEX or CP Optimizer conflict refiner.
• Relax constraints based on user defined priorities.
• Execution tracing and profiling in the IDE: Full access to CPLEX and CP Optimizer log files allows tracking of the solve progress. Use the profiler to understand use of memory and time by different phases of the execution process.
• Automatic performance tuning: Use the CPLEX tuning tool to automatically tune mathematical programming model performance.
• Application Programming Interfaces: Access the CPLEX Simplex, Barrier, MIP and CP Optimizers through the CPLEX Studio IDE, through the Concert Technology API in C++, Java, or Microsoft .NET. Additionally, access the CPLEX Simplex, Barrier and MIP Optimizers through the CPLEX Callable Library, Python and MATLAB.
• Operating systems supported: AIX®, Linux, macOS, and Windows.