FHOPS exposes the same metaheuristics benchmarked in the manuscript:

• Simulated annealing remains the default baseline (bench suite uses it unless disabled). The manuscript cites both the balanced preset (general-purpose) and the mobilisation preset (escapes landing-cap traps). Operator weights ship in profiles.py, so the exporter can surface them in the shared table.

• Iterated local search is included to show deterministic improvement over SA in short horizons (e.g., tiny7). The solver piggybacks on SA assignments when --include-ils is passed, reinforcing that end-users can reuse telemetry outputs.

• Tabu search demonstrates diversification on synthetic bundles: objective traces show convergence parity with SA but at lower runtime. The manuscript will highlight how automatic tenure selection removes another tuning burden.

These notes accompany the shared heuristics_matrix.csv so both the PDF and Sphinx docs can present identical solver guidance.