Iteration 1 Summary
Business Context: A swimming federation aims to assign swimmers to events in a way that maximizes the total performance score across all events, considering each swimmer's performance in different distances and the capacity constraints of the stadiums hosting the events.
Optimization Problem: Maximize the total performance score by assigning swimmers to events, ensuring that the number of swimmers assigned to each event does not exceed the stadium's capacity and that each swimmer is assigned to at most one event.
Objective: maximize ∑(performance_score[swimmer, event] × assign[swimmer, event])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating tables for performance scores and event-stadium mappings, modifying the stadium table to better represent capacity constraints, and adding business configuration logic for scalar parameters and formulas.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 2

Triple Expert Data: Values were determined based on realistic swimming competition scenarios, considering typical performance scores, stadium capacities, and event-stadium mappings. The data ensures that the optimization problem is meaningful and solvable by providing a mix of performance scores that allow for trade-offs in assignments and capacities that are neither too restrictive nor too lenient.