Build and solve complex optimization models to identify the best possible actions
IBM® ILOG® CPLEX® Optimization Studio is a prescriptive analytics solution that enables rapid development and deployment of decision optimization models using mathematical and constraint programming. With this decision optimization technology, you can:
- Optimize your business decisions
- Develop and deploy optimization models quickly
- Create real-world applications that can significantly improve business outcomes
Translate business problems to optimization models and solve them using proven optimization solvers.
Uncover mathematical programming, constraint programming and constraint-based models using powerful solvers like CPLEX Optimizer and CP Optimizer.
Choose from on-premises, cloud and hybrid deployment options to successfully deliver prescriptive analytics through mathematical and constraint programming.
Help reduce operating costs through better allocation of important information with IBM ILOG CPLEX Optimization Studio.
- Mathematical programming solvers
- Flexible modeling language/environment
- Constraint programming solvers
For solving scheduling problems in CPLEX Optimization Studio, the OPL language provides many scheduling-specific language constructs. Users can also display results in the Gantt chart within the IDE.
In the IDE, the Optimization Programming Language (OPL) is strengthened by an Abstract Syntax Tree which allows to search, replace and recognize a given element as text or as having a certain attribute.
To solve a given model, users must create a run-configuration which consist of models and data sources. Right-click on the run-configuration and choose “Run this” from the menu.
If you’re in academia, get a no-cost and unlimited version of IBM ILOG CPLEX Optimization Studio through the IBM Academic Initiative.
Take advantage of IBM tools and resources to help you become skilled in mathematical modeling.
Introduce IBM ILOG CPLEX Optimization Studio to students with this complimentary workshop.
Allow the user to incorporate external functions evaluated outside the engine search – for example, from simulation software – into constraints and goals.
Double speed solution time compared to the default functionality of finding balance between optimal and feasible solutions.
Connect to ODBC, MySQL and CSV without coding using language constructs in IDE through JDBC driver. Use a custom-built connector for other data sources through the dynamic libraries included.
Capitalize on the power of prescriptive analytics and build solutions using machine learning and optimization.
Empower employees to resolve issues with analytical decision support applications.
Train, validate, tune and deploy models for generative AI. Start building AI applications.
Drive ROI and accelerate time to value with an intuitive, drag-and-drop data science tool.
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