IDE Tutorials

The tutorials use examples from the product distribution to illustrate typical features and use cases of the IBM ILOG CPLEX Optimization Studio IDE.

About IDE tutorials
Gives the prerequisites for reading this document and outlines the structure.
Understanding solving statistics and progress (MP models)
Shows how the IDE displays a dynamically updated progress chart for a mixed integer programming (MIP) example that takes some time to solve.
Understanding solving statistics and progress (CP models)
Shows how the IDE displays a dynamically updated progress chart for a constraint programming example that takes a few seconds to solve.
Working with external data
Explains how to connect to data sources from OPL, based on the example of databases, and then provides two practical cases.
Using IBM ILOG Script for OPL
Scripting features are available in the IDE, including script debugging facilities.
Relaxing infeasible models
Uses the nurses example to demonstrate how the IDE detects conflicts and searches for relaxations in OPL models that appear infeasible after execution.
Profiling the execution of a model
Explains how the IDE Profiler table can help you improve your model to make it run faster while consuming less memory.
Working with the solution pool
Explains how to access a project solution pool in the IDE and how you can set options and define filters on solution pool generation.
Using the performance tuning tool
Describes how to improve the combination of parameters for the CPLEX part of an OPL model.
Solving OPL models on the cloud
IBM Decision Optimization for Watson Machine Learning makes it possible to solve OPL models on the cloud.

Parent topic: IBM ILOG CPLEX Optimization Studio IDE