Introduction—IBM ILOG CPLEX Optimization Studio
7 minute demo
In this video, we discuss key concepts around optimization, discuss use cases, showcase how optimization is connected to machine learning and take a very brief look at product capab
Tutorial: Optimization Modeling with IBM ILOG CPLEX Optimization Studio
8 minute demo
Optimization Studio. In this video, we look at how we can quickly get started with creating an optimization model in the Optimization Programming Language (OPL) and Python.
Creating project within CPLEX Studio IDE
4 minute demo
CPLEX Optimization Studio is used for solving Optimization problems. This video explains how to create an empty project within CPLEX Studio IDE. In this video you will learn on how to create a blank project and add data, settings and run configurations within the IDE.
Key Features and Capabilities: IBM ILOG CPLEX Optimization Studio
8 minute demo
In this video, we look at the integrated development environment (IDE) to build optimization models, the mathematical programming (CPLEX) and constraint programming (CP) optimization engines, and the application programming interfaces (APIs).
Opening a Distributed Example within CPLEX Studio IDE
5 minute demo
This video explains how to add an model from distributed examples and run the model in Optimization Programming Language.Examples of OPL models are available in the installation directory and can be opened in the CPLEX Studio IDE.
Review of Production Planning Business Problem
2 minute demo
In this video, we will review the production planning problem as well as explain the formulation of the optimization model and how it works.
Formulating production planning model in OPL
3 minute demo
In this example, you'll see how a production problem is written using OPL (Optimization Programming Language). In this video, you will see how a business problem is converted to an optimization model using OPL syntax.
Overview of the CPLEX Studio IDE
3 minute demo
In this video, we look at the integrated development environment (IDE) using the optimized solution of a production planning problem (pasta manufacturing example). We examine the output tabs after an optimization solve is complete and review some of the featurees of the IDE.
Tour IBM ILOG CPLEX Optimization Studio: Solve an optimization problem
Experience the end-to-end journey of solving an optimization problem with IBM ILOG CPLEX Optimization Studio.
- Create and configure an optimization project
- Read in and review data from a Microsoft Excel file and a flat file
- Develop a mathematical optimization model for the Sudoku puzzle
- Solve the math model and review the results
- Develop a constraint programming model for the Sudoku puzzle
- Solve the constraint model and review the results
15-30 minute introduction
Hands-on Labs for IBM ILOG CPLEX Optimization Studio
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