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 projectProblem 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 through a problem description used to automatically 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.
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Further in this section:
Main Concepts for Optimization Problems – Explanation of the main concepts you need 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:
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Graphical Norm for Optimization Problems – Description of the graphical norm
Optimization Models Examples – Commented examples
Problem Description – How to configure the exact problem for the Optimization Engine
Modeling Guidelines – Summarized good practices