On a converged population the boost was permanently on, so there was nothing
left for it to intervene in. Its trigger, DIVERSITY_BOOST_THRESHOLD at 0.35, sat
above SELECTION_DIVERSITY_FLOOR at 0.30 - the floor the selection itself
guarantees - so `diversity < threshold` was true in every generation after
convergence. The threshold now sits below the floor.
The immigrants the boost injects are by construction the worst individuals in
the pool, and `_select_diverse` ran a plain tournament over parents and
offspring together, so they were removed in the very generation that created
them and their genes never recombined. A bounded share of seats
(IMMIGRANT_PROTECTION_FRACTION) is now reserved for them for
IMMIGRANT_PROTECTION_GENERATIONS selections. The incumbent is protected by
genome key, so no immigrant can evict the best solution or an equal-genome twin,
and offspring do not inherit the protection.
The log line was edge-triggered on `diversity_boost_active`, which was also
cleared on every fitness improvement, so a running boost re-announced itself
with "stagnation 0" while a boost that never stopped looked like several short
ones. It now tracks the boost alone, and the end of a boost is logged too.
Measured on a converged population: without protection 0 of 12 immigrants
survive the selection, with it all 12 do, and the incumbent is kept either way.
The optimizer treated the end of `optimization.horizon_hours` as the end of the
world: energy left in the battery there was worth a single configured price per
kWh, so it either dumped the battery into the last hours or hoarded it,
depending on that one number.
The horizon is now two spans. `horizon_hours` still receives every control
command. The new `optimization.tail_horizon_hours` (default 48 h) is a pure
lookahead that never produces a command. In AUTO terminal-value mode a
deterministic dynamic program solves that tail backwards on a 101-point SoC
grid using the production battery and inverter models - SoC bounds, power caps,
conversion losses, configured charge and export rates, direct-marketing
permission and LCOS on delivered DC energy - and the existing AUTO proxy
supplies the continuation value at the tail end. Genetic fitness reads the
resulting curve. `tail_horizon_hours: 0` restores the plain proxy at the control
end, FIXED is unchanged.
The forecast budget is reported, never enforced by refusal: a tail that does not
fit is shortened to what the forecast covers and reported as
`effective_tail_hours`, and a control horizon that does not fit is warned about
at configuration time and rejected by the optimizer at run time, which knows
which series ran out. `prediction.hours` defaults to 72 so the new defaults fit
out of the box; existing shorter configurations keep starting.
Control arrays and warm-start genomes now begin at the run timestamp rather than
midnight, flagged by `controls_start_at_now` so the adapters still read older
solutions. `forecast_interval_seconds` declares the resolution of shortened
native quarter-hour inputs.
Required forecasts are no longer silently replaced by demo providers. A missing
PV, price, load, feed-in or weather forecast used to rewrite the configured
provider and retry, so a run could quietly optimize against invented data.
Missing values now stay missing, and provider values are held only within their
own source interval instead of being extended indefinitely.
Also fixes a config update that could leave EOS half-updated: the merged
candidate is validated before the singleton is reinitialized.
Four provider tests that hard-coded the old 48 h prediction default are rewritten
to derive their expectations from the configured horizon.
Andreas