Developing an application with CP Optimizer

Developing an application with CP Optimizer involves data preparation, modeling and solving.

Overview
Developing an application with CP Optimizer involves data preparation, modeling and solving.
Preparing data
Preparing data for use in a CP Optimizer application involves ensuring that you have realistic, representative data and that the format is specified.
Clarifying the cost function
A good cost function accurately represents which solutions are preferable.
Defining a solution
A solution satisfies the constraints of the problem.
Identifying the constraints
It is important to identify all of the constraints, to understand which ones are real ones and which have been used in the past for tuning, and to know which ones may be relaxed.
Abstracting a miniproblem
A representative miniproblem I useful for validation and testing.
Designing the model
As you design a model for your application, there are several principles to guide you.
Tuning Performance
Tuning the performance of the optimizer is useful. There are practical ways to make your CP Optimizer application more efficient, as suggested in the following sections.

Parent topic: CP Optimizer User's Manual