Iteration 1 Summary
Business Context: A photography company is optimizing the selection of photos for a new mountain photography book. The goal is to maximize the visual diversity of the book by selecting photos with different colors and mountains, while considering constraints on the number of photos that can be included from each mountain and the total number of photos.
Optimization Problem: The company aims to maximize the diversity of selected photos by choosing a set of photos that includes a variety of colors and mountains. The objective is to maximize the sum of selected photos' diversity scores, subject to constraints on the maximum number of photos per mountain and the total number of photos.
Objective: maximize sum(d_i * x_i) where d_i is the diversity score of photo i and x_i is a binary variable indicating if photo i is selected
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating a new table for diversity scores and updating business configuration logic for constraints. These changes address the OR expert's mapping gaps and missing requirements.
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 constraints and diversity requirements for a photography book, ensuring a balance between diversity and selection limits.