ILOG CPLEX 11.0 User's Manual > Discrete Optimization > Logical Constraints in Optimization

Logical Constraints in Optimization

This chapter shows you how to represent logical constraints in ILOG CPLEX with Concert Technology. Concert Technology can automatically translate logical constraints into their transformed equivalent that the discrete (that is, MIP) or continuous (LP) optimizers of ILOG CPLEX can process efficiently in the C++, Java, or .NET APIs.

In the Callable Library, indicator constraints provide a similar facility. For more about that idea, see Using Indicator Constraints in this manual.

In this chapter, you will learn:

What Are Logical Constraints?
What Can Be Extracted from a Model with Logical Constraints?
Which Nonlinear Expressions Can Be Extracted?
Logical Constraints for Counting
Logical Constraints as Binary Variables
How Are Logical Constraints Extracted?

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