Iteration 1 Summary
Business Context: A gymnastics competition requires selecting a team of gymnasts to maximize the total points scored across all events, while ensuring that each gymnast does not exceed a maximum number of events they can participate in and the total number of gymnasts on the team does not exceed a specified limit.
Optimization Problem: The goal is to maximize the total points scored by the team across all events, subject to constraints on the number of events each gymnast can participate in and the total number of gymnasts on the team.
Objective: maximize ∑(Floor_Exercise_Points * x1 + Pommel_Horse_Points * x2 + Rings_Points * x3 + Vault_Points * x4 + Parallel_Bars_Points * x5 + Horizontal_Bar_Points * x6)
Tables Created: 2
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for decision variables and constraint bounds, and updating business configuration logic to handle 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 typical gymnastics competition scoring ranges, realistic team sizes, and event participation limits. The data ensures diversity in gymnast performance across events while respecting constraints.