Iteration 1 Summary
Business Context: Optimize the allocation of campaign resources across counties to maximize voter turnout in an upcoming election. The goal is to distribute a limited budget across counties based on their population and historical voting patterns.
Optimization Problem: Maximize the total expected voter turnout by allocating campaign resources (e.g., advertising, events) to counties. The objective is linear, and constraints include budget limits, minimum resource allocation per county, and population-based proportionality.
Objective: maximize ∑(expected_turnout_per_dollar[County_Id] × resource_allocation[County_Id])
Tables Created: 2
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for expected turnout per dollar and resource allocation limits. Configuration logic updates include scalar parameters for total budget, minimum and maximum allocations, and proportionality factor.
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 campaign budgets, historical voter turnout data, and population sizes of typical counties. The proportionality factor was set to ensure fair allocation relative to population.