Problem modeling is a key step in the deployment of a new Optimization Engine project. It consists in 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 a textual problem description used to automatically instantiate the Multi-Agent Optimization Engine. Here is a presentation of the graphical norm and how to build it.
The main concepts one needs to know about: dimensions, spaces, variables, and criteria.
The graphical norm is described.
Some explained examples are provided
Modeling the problem directly translates into instantiating the subsequent multi-agent optimization engine. Hence, it is critical to the success of a project. We identified some good practices, summarized in Modeling Guidelines.
Further in this section: