Product UpdatesNew ILOG OPL-CPLEX Development System 5.5ILOG OPL-CPLEX Development System is the most efficient and complete model development tool for ILOG CPLEX and now also for the new ILOG CP Optimizer. Using the OPL integrated development environment (IDE) greatly simplifies model development, testing, tuning and deployment. The new 5.5 release continues to provide enhancements to support all of these steps. Being a complete IDE for OR professionals, the ILOG OPL-CPLEX Development System is also tightly integrated with ILOG Optimization Decision Manager (ODM). ILOG ODM provides unprecedented speed and ease of development of complete applications, with support for what-if analysis, scenario comparison and graphical solution displays. New in ILOG OPL-CPLEX Development System 5.5
Previous advances in ILOG-CPLEX Development System 5Model DevelopmentILOG OPL-CPLEX 5 simplifies model debugging by displaying conflicts and possible relaxations detected by CPLEX for infeasible models, allowing quick identification and resolution of model inconsistencies. A mouse-click brings you to the point of conflict, and a display of relaxed constraints required for feasibility helps you identify and make corrections in the model. In the modeling language, OPL 5 introduces logical constraints for more compact modeling and easier model maintenance. As an alternative to manual linearization, which often requires using big-M constraints, constraints including AND, OR, NOT, MIN, MAX and ABS are now modeled and solved natively in OPL and CPLEX. For the advanced user, model flow control is also improved, where scripting supports warm start and direct control of the CPLEX matrix. This allows for iterative algorithms, in which a model is solved repeatedly, to greatly increase performance. ILOG CP Optimizer, ILOG’s Constraint Programming (CP) based optimization engine for packing, sequencing and timetabling problems is available. CP Optimizer models can now be developed, debugged and tuned in OPL, in addition to or in combination with CPLEX models. This allows modeling and solving pure CP problems, or decomposing problems and combining CP and Math Programming (MP) models in sequence to solve them. The OPL modeling language has been extended to support CP Optimizer models, including arithmetic linear and non-linear constraints, logical constraints, and specialized constraints that define relationships between a large set of variables, such as all-different. The OPL time and memory profiler, the console, log and solve progress displays are all integrated with CP Optimizer. Data Integration and ManipulationILOG OPL-CPLEX has long provided good support for flexible data modeling through arrays, tuples and sets – and a particularly strong point has been its ability to handle and exploit sparse data for greater performance. ILOG OPL-CPLEX 5 adds to this functionality by introducing tuple keys and tuple references. These new features are characterized by ease of use and similarity to data access in relational databases, and provide a number of benefits such as automatic data consistency checking, better performance of model generation, and a more natural modeling approach. Project Management and the IDEThe project definition in the OPL IDE has been extended to allow the use of multiple models, data sets and settings in the same project. Combined with a new concept called Run Configuration, this provides flexibility in creating and maintaining multiple combinations of model executions, comparing, for example, the same model with two different data sets or CPLEX parameter settings, or comparing two variants of a constraint formulation. For more information on ILOG OPL-CPLEX Development System, ILOG ODM and the entire ILOG Optimization Suite, visit http://optimization.ilog.com. |
|---|