Iteration 2 Summary
Business Context: The protein institute aims to optimize the allocation of research resources across different institutions to maximize the total sequence length of proteins studied, while respecting budget and building capacity constraints.
Optimization Problem: Maximize the total sequence length of proteins studied across institutions, subject to constraints on the total budget allocated for research and the capacity of buildings where research is conducted.
Objective: maximize ∑(sequence_length_i * x_i), where x_i is the amount of resources allocated to institution i
Tables Created: 0
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include adding a table for sequence length coefficients, updating business configuration logic for scalar parameters, and ensuring all optimization mappings are complete.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 1

Triple Expert Data: Values were determined based on realistic research scenarios, considering typical protein sequence lengths, research costs, and building capacities. Data was generated to ensure a balanced optimization problem with feasible constraints.