Iteration 1 Summary
Business Context: Optimize the scheduling of tennis matches to minimize the total travel distance for players while ensuring all matches are played within a tournament's duration.
Optimization Problem: The goal is to minimize the total travel distance for players between matches in a tournament, considering the constraints of match scheduling and player availability.
Objective: minimize total_travel_distance = ∑(distance[player_id, match_num] * x[player_id, match_num])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for travel distances and player availability, modifying existing tables for better mapping, and updating 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 typical tournament schedules, player travel patterns, and match durations to ensure a realistic and solvable optimization problem.