jze9 56c7ab9c1d Add variable-length genome search space and objective function (Stage 6 pt.1) ...

- optim/search_space.py: Genome encodes only indices into the real
  component database plus continuous/discrete geometry parameters; number
  of stages is itself mutable via add/remove/duplicate-stage operators.
  repair() clips everything back into bounds after mutation/crossover so
  decode() never sees an invalid genome.
- optim/objective.py: evaluate() decodes a genome, computes real BOM cost
  from wire length/price and component prices, runs the full chain, and
  scores fitness = efficiency for feasible runs or a soft penalty scaled
  by how many stages it got through for infeasible ones (so the GA gets
  gradient instead of a wall).

Tested against the real component database (not synthetic fixtures) —
including an explicit infeasible case using the real inductive sensor's
actual sensitivity/threshold values.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

2026-07-06 20:26:16 +05:00

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