A Self-Organizing and Holonic Model for Optimization in Multi-Level Location Problems

Multi-Level Location Problems are generally considered as complex. To deal with these problems we propose an approach based on Holonic MultiAgent Systems (HMAS). HMAS have already proven to be a convenient way to engineer complex systems. This approach was merged with Artificial Potential Fields (APF) mechanims. The solution is obtained simultaneously with the holarchy. The holarchy is thus used to exploit and control the emergence of the solution. This solution is then evaluated to check its relevance according to global objectives represented thanks to a fitness function. This model was efficiently applied to a multi-level distribution system.