Adds a many-objective section to the comparison harness, exercising the
regime where Pareto dominance stops discriminating: with enough
objectives almost every pair of solutions is mutually non-dominated.
- DTLZ2 4-objective: the entry point to many-objective.
- DTLZ2 10-objective: the curse of dimensionality in full.
- DTLZ1 8-objective: dominance collapse stacked on DTLZ1's deceptive
multimodal g-term.
Implemented generically: the existing Dtlz1/Dtlz2 structs and distance
metrics are already objective-count agnostic, so a single `ManySpec` +
nine generic runners (RandomSearch, NSGA-II, NSGA-III, MOEA/D, RVEA,
GrEA, IBEA, HypE, AGE-MOEA) cover all three tables -- and any future M.
The results are a clean teaching story:
- NSGA-II collapses -- on DTLZ2-10 it finishes dead last, *worse than
random search* (2.01 vs 0.63); its crowding distance actively
misleads in 10-D.
- HypE / MOEA/D / GrEA / IBEA barely notice the 4 -> 10 jump.
- GrEA wins DTLZ1-8, consistent with the 3-objective DTLZ1 table.
- HypE reverses: #1 on both DTLZ2 tables, #6 on the deceptive DTLZ1-8.
Regenerated examples/compare-results.md with the three new sections.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
swaitsandClaude Opus 4.7
398c82326a