Iteration 1 Summary
Business Context: Optimize the allocation of campaign resources across counties to maximize the number of votes for a political party in an upcoming election, considering budget constraints and minimum/maximum resource allocation per county.
Optimization Problem: Determine the optimal allocation of campaign resources to different counties to maximize the expected number of votes, subject to budget limits and resource allocation constraints.
Objective: maximize sum(ObjectiveCoefficients.votes_coefficient[i] * DecisionVariables.resource_allocation[i])
Tables Created: 2
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating new tables for objective coefficients, constraint bounds, and decision variables. Business configuration logic is updated to include scalar parameters and formulas for optimization constraints and objectives.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 3

Triple Expert Data: Values were determined based on typical campaign resource allocation scenarios, ensuring that the budget and allocation constraints are realistic and align with common political campaign strategies.