Saved study and data files¶
A recorded Assignment 14 optimization includes these files in its output folder:
| File | Use |
|---|---|
search_config.json |
variables, bounds, evaluation budget, simulation and constraint settings |
optimization_summary.json |
aggregate run outcome and best-observed summary |
history.jsonl |
ordered optimization events |
results.csv |
candidate-level tabular summary |
best_observed.json |
saved best-observed record |
candidates/eval_.../candidate_design.CDX1 |
candidate geometry submitted to simulator |
candidates/eval_.../result.json |
per-candidate outcomes and checks |
.../rasaero_attempt_01/ |
per-attempt native simulation evidence when preserved |
rocketpy_state.csv, dynamic_flight_history.csv |
candidate histories when recorded |
flutter_screening.json |
candidate-specific preliminary flutter screening when available |
Not every candidate subfolder contains every optional history or intermediate export. Keep the entire output directory for portability and troubleshooting.
Provenance¶
Candidate IDs link geometry, RASAero prediction, RocketPy state, static constraints, and flutter screening. Verify that all comparisons use the same candidate and model settings. The Assignment 14 handoff reports six unique evaluated candidates and cached repeat objective calls.
Source basis: Assignment 14 review materials supplied with this documentation. Internal archive paths and raw evidence are not published.