+=============================+=================+=============================================================+=============================================================================+=========================================================================================================================================================+ | solver | default_profile | search_strategy | best_for | tuning_notes | +=============================+=================+=============================================================+=============================================================================+=========================================================================================================================================================+ | Simulated Annealing (SA) | balanced | Probabilistic move/swap neighbourhood with cooling schedule | Small-to-medium bundles needing quick feasible schedules | Use –sa-iters 2500+ for med42; –compare-preset diversify exposes swap-heavy exploration, while mobilisation preset biases toward distance-aware moves | +—————————–+—————–+————————————————————-+—————————————————————————–+———————————————————————————————————————————————————+ | SA (mobilisation preset) | mobilisation | Adds mobilisation_shake and higher landing penalties | Scenarios with tight landing caps or long walk thresholds | Pair with –compare-preset mobilisation plus lower –sa-iters to highlight mobilisation shake vs. default | +—————————–+—————–+————————————————————-+—————————————————————————–+———————————————————————————————————————————————————+ | Iterated Local Search (ILS) | ils_default | Deterministic restart loop wrapping greedy local search | Fine-tuning SA solutions on bounded horizons (<=150 assignments) | Expose –include-ils with ~400 iterations; set –ils-batch-neighbours 4 when CPU budget allows | +—————————–+—————–+————————————————————-+—————————————————————————–+———————————————————————————————————————————————————+ | Tabu Search | tabu_default | Short-term memory over swap/move neighbourhood | High-mobility cases (synthetic tier) where aggressive diversification helps | –tabu-iters 2500 plus automatic tenure delivered best synthetic_small runs; capture telemetry for objective trace | +—————————–+—————–+————————————————————-+—————————————————————————–+———————————————————————————————————————————————————+