This collection includes optimization examples of machine learning and AI.
This real life layout redesign decision can be modeled and solved as an optimization problem. The objective would be to minimize all costs including cost of making layout changes and cost of material handling. This is implemented using GAMS/MIRO. Users can run the model on default data, view the results, then change data to generate a new scenario, comparing two saved scenarios in the comparison tool.