Commit Graph
4 Commits
Author SHA1 Message Date
swaits ac1a5856cf chore: fix clippy warnings in NSGA-III, SPEA2, and compare example
- nsga3: drop redundant `.into_iter()` in extend call; use
  `#[allow(clippy::needless_range_loop)]` on the back-substitution
  loop where `j` indexes into the matrix; remove an unneeded
  `return` keyword in a closure.
- spea2: switch `pool.extend(x.drain(..))` to `pool.append(&mut x)`.
- examples/compare.rs DTLZ2 evaluator: same `needless_range_loop`
  silencer on the inner cosine product loop.
2026-05-04 19:59:18 -06:00
swaits 5728ee14e2 feat(examples): add DTLZ2 (3-obj) and NSGA-III to comparison harness
NSGA-III's value over NSGA-II shows up at 3+ objectives, where
crowding distance loses its diversity signal. Adds a third comparison
section to `examples/compare.rs`:

DTLZ2 (3-objective, 12-D, the textbook benchmark for many-objective
algorithms): unit-sphere-octant Pareto front. Compares RandomSearch,
NSGA-II, SPEA2, and NSGA-III on:

- mean distance from front points to the unit sphere
  (closed-form: |1 - sqrt(f1² + f2² + f3²)|),
- spacing,
- front size,
- wall-clock ms.

NSGA-III config: H=12 reference divisions (91 reference points,
matching the canonical setup from Deb & Jain 2014).

Also wires NSGA-III into the existing ZDT1 (2-objective) section even
though it's not its sweet spot — useful as a regression check that the
algorithm at least keeps up with NSGA-II on bi-objective problems.
2026-05-04 19:57:21 -06:00
swaits 18d778a00b feat(examples): add SPEA2 to ZDT1 comparison harness
One-line addition: `zdt1_spea2` runner using bounds-aware operators
(SBX + PolyMut, same hyperparameters NSGA-II uses) and an archive of 100.
2026-05-04 19:53:07 -06:00
swaits 13f126a754 feat(examples): add multi-seed comparison harness
A comparison example that runs every applicable optimizer on ZDT1 and
Rastrigin across N seeds and reports mean ± stddev for each quality
metric. Designed so a new algorithm slots in by adding a single runner
function — no harness changes needed.

ZDT1 (multi-objective, dim=30):
  Reports hypervolume_2d (against ref point [1.1, 1.1]), spacing, mean
  L2 distance to the analytical Pareto front, front size, and wall-clock
  ms. RandomSearch, PAES, and NSGA-II all use bounds-aware operators
  (RealBounds, BoundedGaussianMutation, SBX+PolyMut) so the Problem
  itself stays unclamped — apples-to-apples.

Rastrigin (single-objective, dim=5):
  Reports mean ± stddev best objective and ms. RandomSearch, PAES,
  NSGA-II (degenerate single-obj case), and DE.

Default budget: 10 seeds × 25,000 evaluations on ZDT1, × 50,000 on
Rastrigin. Run with:

  cargo run --release --example compare
2026-05-04 19:51:39 -06:00