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3 commits

Author SHA1 Message Date
c37f03f1a1 Close homemaker-py-hqw: make project standalone (no Perl/Urb dependency)
Copy programme-house corpus (36 .dom + .score + .fails + patterns.config)
into examples/ and update all 5 test files to use project-relative paths.
Native Python fitness (use_native=True) was already the default; tests now
run without /home/bruno/src/urb present.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 23:39:20 +01:00
33d79be3fe Cold-start bootstrap: diverse initial population for blank-slate search
When the seed is an undivided bare plot (init.dom), auto-generate pop_size
random topologies before the memetic loop starts, each evaluated at
child_budget.  This crosses the zero-feasibility region that single-seed
chaining cannot escape — the programme-house cold start was stalling at 18
fails after 2000 evals vs urb-evolve's 6.

Auto-detection via seed_root.divided preserves the existing single-seed
path for warm starts from existing designs; all previous tests pass unchanged.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 23:29:12 +01:00
0beb005a23 Memetic search driver: steady-state GA over topology, warm-started inner loop
driver.py (homemaker-py-b39): tournament selection, operators.mutate (storey
ops down-weighted) + area-matched crossover, every child's geometry
delegated to the warm-started inner loop (Lamarckian write-back; children
use a single local CMA phase - the exploratory ladder phase exists for cold
projections children never face). Budget stated and accounted in oracle
evaluations; near-duplicate fitness guard against population collapse
(neutral mutations are common, per 8cs).

free_with_keys/ratio_map/warm_x0 promoted from the 8cs experiment into
innerloop.py as the Lamarckian inheritance API; alignment with
solver.free_branches asserted across the corpus.

tests/test_driver.py fakes the inner loop: budget accounting, monotone
improvement history, warm-start + sigma plumbing, valid .dom output.
31 tests pass. experiments/run_search.py is the end-to-end acceptance run.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-12 14:22:26 +01:00