Problem modeling is a key step in the deployment of a new Optimization Engine project. It consists of transforming the client’s requirements into a problem description that is understandable by the engine.
Typically we start by using a graphical norm to discuss with the customer, then it is refined into the final textual problem description used to instantiate the Multi-Agent Optimization Engine. Here is a presentation of the graphical norm and how to build it.
Further in this section:
Main Concepts for Optimization Problems – Explanation of the main concepts you need to know about: dimensions, spaces, variables, and criteria
Graphical Norm for Optimization Problems – Description of the graphical norm
Optimization Models Examples – Commented examples
Modeling Guidelines – Summarized good practices
Problem Description - How to configure the exact problem for the optimization engine