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homemaker-layout/experiments/penalty_reshape.json

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Lexicographic outer-search comparison, preserve inner-loop cliff (homemaker-py-yg5) Outer search now ranks individuals by (-n_fails, fitness) instead of raw fitness scalar. This prevents high-score 3-fail designs from displacing 2-fail designs in tournament selection and population replacement — the root cause of the §4.8 pathology where flag count dominates geometry. Inner loop is unchanged: it still optimises against the raw 0.5^n fitness scalar, so the cliff that prevents trading into new failures remains intact (0/9 regressions in experiments/penalty_reshape.py). Also removes stale _CHILD_INNER_KW = {"sigmas": (0.05,)}: this was left over from the CMA-ES era; the NM inner loop default (homemaker-py-d6d) does not accept a sigmas parameter. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-14 09:20:03 +01:00
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}
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