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Python rewrite of the Urb/Homemaker stack
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Bruno Postle 0e5e607c4f Swap inner loop default from CMA-ES to Nelder-Mead (homemaker-py-d6d) 
Bakeoff with native fitness shows NM wins at all DOF sizes: +9% at
child_budget=80 for programme-house (6-7 DOF), and decisively at
harbor-house scale (35-40 DOF) where CMA-ES exhausts its convergence
detector after ~3 generations (46 evals) and adds failures on 12/15
runs.  NM uses the full budget, is parameter-free, and has zero new
failures across all test cases.

- Add nm_search() to innerloop.py; change optimise() default to "nm"
- Add nm_search to parametrised test cases
- Add bakeoff_native.py and bakeoff_harbor.py experiments with results

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-14 08:51:22 +01:00
.beads Swap inner loop default from CMA-ES to Nelder-Mead (homemaker-py-d6d) 2026-06-14 08:51:22 +01:00
.claude Scaffold homemaker-py with validated geometry port 2026-06-10 20:50:20 +01:00
examples/programme-house Close homemaker-py-hqw: make project standalone (no Perl/Urb dependency) 2026-06-13 23:39:20 +01:00
experiments Swap inner loop default from CMA-ES to Nelder-Mead (homemaker-py-d6d) 2026-06-14 08:51:22 +01:00
src/homemaker_layout Swap inner loop default from CMA-ES to Nelder-Mead (homemaker-py-d6d) 2026-06-14 08:51:22 +01:00
tests Swap inner loop default from CMA-ES to Nelder-Mead (homemaker-py-d6d) 2026-06-14 08:51:22 +01:00
.gitignore bd init: initialize beads issue tracking 2026-06-11 23:27:11 +01:00
AGENTS.md bd init: initialize beads issue tracking 2026-06-11 23:27:11 +01:00
CLAUDE.md Fix stair-fit parity: entrance corners + weighted has_circulation (homemaker-py-w1e/q70) 2026-06-13 20:55:25 +01:00
DESIGN.md Rename package: homemaker → homemaker-layout 2026-06-14 08:18:06 +01:00
pyproject.toml Rename package: homemaker → homemaker-layout 2026-06-14 08:18:06 +01:00
README.md Rename package: homemaker → homemaker-layout 2026-06-14 08:18:06 +01:00

README.md

homemaker-layout

Programme-driven building-layout search over slicing trees. A clean-room Python successor to the Perl Urb project, intended to eventually be 100% Python.

Why a rewrite

Urb represents a building as a binary slicing tree where room sizes are derived top-down from division ratios. That makes room area an emergent property of every cut above it, which:

  • gives the genome low locality (a cut near the root rescales every descendant),
  • makes target room sizes nearly impossible to hit, so the gaussian size penalty dominates fitness, and
  • defeats crossover (transplanted subtrees lose their proportions).

homemaker inverts this: leaves carry target dimensions from the programme and division ratios are solved bottom-up for a fixed topology. The evolutionary search then only explores topology + types + adjacency.

Phase plan

  1. Solver experiment (current): port Urb's geometry, re-solve ratios from programme targets, score the result against the original via the Perl oracle.
  2. Native Python fitness (retire the Perl oracle).
  3. Canonical slicing encoding (normalized Polish expression) + memetic search.

Layout

  • src/homemaker_layout/dom.py — read/write Urb .dom YAML into a Node tree.
  • src/homemaker_layout/geometry.py — faithful port of Urb's top-down geometry.
  • src/homemaker_layout/programme.py — parse patterns.config space requirements.
  • src/homemaker_layout/solver.py — bottom-up ratio solve (scipy).
  • src/homemaker_layout/oracle.py — Phase-1 scaffold: score a .dom via Urb's urb-fitness.pl.

The Perl oracle is the only throwaway component; everything else is permanent.