Iteration 1 Summary
Business Context: A news agency wants to optimize the allocation of journalists to events to maximize the total event attendance covered by journalists, considering constraints on the number of events a journalist can cover and the total number of journalists available.
Optimization Problem: Maximize the total event attendance covered by journalists, subject to constraints on the number of events each journalist can cover and the total number of journalists available.
Objective: maximize ∑(Event_Attendance[Event_ID] × x[journalist_ID, Event_ID])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing constraint bounds and modifying existing tables to better map decision variables. Configuration logic updates include moving scalar parameters to JSON for better management.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 2

Triple Expert Data: Values were chosen to reflect a realistic scenario where journalists cover events with varying attendance, ensuring constraints are met and the optimization problem is solvable.