docs: 0.8.0 release polish — README, guide, changelog

Companion to the feat(async) commit. Brings every cross-referencing
doc up to v0.8 currency, replaces marketing-flavored copy with plain
prose, and replaces toy benchmark problems with relatable ones that
include actual run output and interpretive narrative.

- README: collapses the four-bullet "Read the user guide / API
  reference / Tested with N tests / Hot paths optimized" list into
  a single Docs links line.
- README: replaces the Schaffer-N1 toy problem with a PickACar
  multi-objective design problem — three decision variables
  (displacement, weight, drag), four objectives (price, 0-60,
  fuel, noise), and *nonlinear* cost relationships so the Pareto
  front is a real surface, not a 1D sweep. Includes actual NSGA-III
  run output (representative slice across the 100-car front) and
  a narrative explaining what each row tells you and why hand-
  picking would miss the interesting tradeoffs.
- README: removes rustdoc-style hidden `#` setup lines from code
  blocks. The README is rendered as plain markdown on GitHub /
  crates.io, where those lines are visible garbage instead of
  hidden setup. Code blocks are now self-contained.
- Guide quickstart (getting-started.md): replaces Sphere ( Σ x² )
  with a least-squares LineFit example. Same shape (single-
  objective continuous), but recognizable framing. Includes
  actual CMA-ES output, residual table, and narrative comparing
  the answer to standard regression.
- Algorithm count audit: stale "35 algorithms" claim corrected to
  the actual 33 across README, src/lib.rs, introduction.md, and
  the comparison.md table cell.
- Async feature flag listed in the optional-features sections of
  README, src/lib.rs, getting-started.md.
- introduction.md, choosing-an-algorithm.md, comparison.md,
  stability.md, migration.md, cookbook/parallel.md,
  cookbook/custom-optimizer.md: cross-references updated to
  describe full async coverage and link the new cookbook recipe.
- stability.md: removes the speculative "Observer / Snapshot /
  Checkpoint planned" bullet (those didn't ship); documents the
  AsyncProblem / AsyncPartialProblem trait stability.
- migration.md: new "To 0.8" section with paths from 0.5.x and 0.7.x.
- CHANGELOG: 0.8.0 entry capturing the async feature plus the
  documentation / governance / CI catch-up.
- SECURITY.md: supported versions table reflects 0.8.x.

docs/book/src/introduction.md

@@ -44,7 +44,7 @@ hyperopt, optuna, DEAP). heuropt's design priorities:
 
 ## What's in the box
 
-heuropt v0.5 ships **35 algorithms** spanning:
+heuropt v0.8 ships **33 algorithms** spanning:
 
 - Single-objective continuous: `RandomSearch`, `HillClimber`,
   `OnePlusOneEs`, `SimulatedAnnealing`, `GeneticAlgorithm`,
@@ -65,6 +65,15 @@ ProjectToSimplex), the metrics (hypervolume, spacing), and the Pareto
 utilities (dominance, fronts, crowding distance, Das–Dennis reference
 points, the `ParetoArchive`) that you'd expect.
 
+**Async evaluation** (since v0.8, behind the `async` feature flag):
+when your `evaluate` function is IO-bound — calling an HTTP service,
+an RPC, or a subprocess — implement [`AsyncProblem`] and use
+`run_async(&problem, concurrency).await` on any algorithm in the
+catalog. heuropt is the only mainstream optimization library with
+first-class async support across its entire algorithm set.
+
+[`AsyncProblem`]: https://docs.rs/heuropt/latest/heuropt/core/async_problem/trait.AsyncProblem.html
+
 ## How to use this guide
 
 If you're new to heuropt, read it linearly: