Several languages are used to model the customer's problem / the instance of a multi-agent optimization engine that will be deployed, depending on how advanced we are in the project.
Typically we start by using a graphical norm to discuss with the customer, then it is refined through a 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 are 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: