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ILOG OPL Development Studio 6.0
- Usability improvements:
- New text editor with powerful navigation, search and replace options
- File history, allowing for comparisons between versions during model development
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Flexible side-by-side file comparison across projects
- Dynamic help tool with content that changes dynamically as users type
- Scheduling support re-introduced:
- Language extensions for modeling and solving scheduling problems with ILOG CP Optimizer
- Management of solves and run configurations:
- Recent launches of run configurations are saved, even across projects
- Fast launch of run configuration through contextual menu
- Team collaboration support:
- Integration with Concurrent Versions System (CVS) for source code control
- Models and other project artifacts can be shared
- Performance enhancements:
- Reduced footprint of the integrated development environment (IDE)
- Improved performance on Linux
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Previous ILOG OPL Development Studio updates:
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Previous Updates
ILOG OPL Development Studio 5.5
Support for new ILOG CPLEX features:
- Generated solutions are collected and displayed in the problem browser, where values of both decision variables and objective functions can be compared.
- The performance tuning tool can be launched from the ILOG OPL independent development environment (IDE), and progress can be monitored. The recommended parameter settings are available as a standard ILOG OPL setting file. ILOG OPL Interfaces and Script are available through OPLRun.
- Parallel solving on multi-core and multi-CPU machines is possible. All ILOG CPLEX options are available, including the choice of new deterministic or traditional opportunistic parallel mode.
Sorted and ordered sets: Sets can be kept in constructed-, sorted-, or reverse-sorted order.
Improved integration of modeling language and scripting: Modeling functions can be used from scripting.
Launch of OPLRun directly from the IDE: A run configuration can be launched as a separate process, IDE overhead is eliminated, and 64-bit mode execution is permitted.
Labeled asserts: Debugging information has been improved.
Improved organization of ILOG OPL examples: Variations on a model are now located in the same ILOG OPL project for easier comparison.
ILOG OPL Development Studio 5.2
Ports:
- The Windows 32 bit port now supports Windows Vista
- Red Hat Enterprise Linux 5
- SUSE Enterprise Linux Server 10 (SLES 10)
ILOG OPL Development Studio 5.1
- Performance improvements:
- Model generation in ILOG OPL is now on average 10 percent faster and requires 10percent less memory than ILOG OPL 5.0.
- External function calls:
- It is now possible to make calls to external functions written in Java from scripting. This allows you to combine ILOG CPLEX with external algorithms and is useful for decomposition schemes and iterative solving procedures.
- Table loading:
- Database tables can now directly be loaded into ILOG OPL arrays through the DBread statement
- Arrays of decision expressions:
- Decision expressions (dexpr) was introduced in ILOG OPL 5.0 and ILOG OPL 5.1 now allows arrays of such expressions to be defined – resulting in compact, readable models and improved performance.
- New ports:
- Windows 32 bit port now supports both Microsoft Visual Studio 2003 and 2005
- Windows 64 bit now available as a deployment port (no 64 bit IDE)
ILOG OPL Development Studio 5.0
- Improved model debugging:
- Conflicts and possible relaxations are displayed for infeasible models, allowing quick identification and resolution of model inconsistencies. A mouse-click takes users to the point of conflict, and a display of relaxed constraints required for feasibility helps users identify and make corrections in the model.
- Logical constraints:
- Logical constraints in the modeling language support more compact modeling and create 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 ILOG OPL and ILOG CPLEX.
- Advanced flow control:
- Scripting now supports warm start and direct control of the ILOG CPLEX matrix. This allows for iterative algorithms for better performance.
- Data integration and manipulation:
- New tuple keys and tuple references provide automatic data consistency checking, better performance of model generation, and a more natural modeling approach.
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The ILOG Optimization Suite |
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ILOG OPL-CPLEX-ODM Hands-on Experience Workshop, Philadelpia |
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31 July 2008 Philadelphia, PA |
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