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Loop: local search → perturbate → local search → repeat.
Reuses SA's propose_neighbor for moves.
Qin2014 benchmark (ternary:prevalence):
ILS: Test AUC 0.813, k=22, 0.05s (fastest, sparsest)
SA: Test AUC 0.911, k=48, 0.3s
LASSO: Test AUC 0.853, k=177, 0.1s
Params: max_iterations, perturbation_size, local_search_steps,
max_no_improve, k_min/k_max
2 tests: basic run, reproducibility
Closes #62
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Fastest algorithm (0.05s), sparsest models (k=22). 2 tests pass. Closes #62.