Iteration 2 Summary
Business Context: Optimize the selection of workshop submissions to maximize the overall quality of accepted papers while respecting workshop capacity constraints.
Optimization Problem: Maximize the total score of accepted submissions across all workshops, ensuring that the number of accepted submissions does not exceed the capacity of each workshop.
Objective: maximize sum(Scores[i] * x[i]) where x[i] is a binary decision variable indicating whether submission i is accepted.
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Added submission_scores table to address missing Scores[i] mapping. Updated business configuration logic with scalar parameters for submission scores and formulas for optimization objective.
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 workshop submission scenarios, ensuring a balance between quality scores and workshop capacities to create a meaningful optimization problem.