IBM® ILOG® CPLEX® Optimization Studio uses decision optimization technology to optimize your business decisions, develop and deploy optimization models quickly, and create real-world applications that can significantly improve business outcomes. How? 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. It combines a fully featured integrated development environment that supports Optimization Programming Language (OPL) and the high-performance CPLEX and CP Optimizer solvers.

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.

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).

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