Iteration 1 Summary
Business Context: Optimize the allocation of players to schools based on school performance and player positions to maximize overall team performance while adhering to school enrollment limits and position constraints.
Optimization Problem: Maximize the overall performance of teams by assigning players to schools in a way that aligns with the schools' historical performance and the players' positions, subject to school enrollment limits and position constraints.
Objective: maximize ∑(performance_weight[school_id, position] × assign[player_id, school_id])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating tables for performance weights, position constraints, and team size requirements. Configuration logic updates include scalar parameters for minimum team size and position constraints, and formulas for performance weight calculations.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 4

Triple Expert Data: Values were determined based on realistic school sports team sizes, historical performance data, and typical position constraints in team sports. The data ensures that the optimization problem is meaningful and solvable by aligning with real-world scenarios.