swaits ac0274f76f feat(examples): add MOEA/D to ZDT1 and DTLZ2 comparison sections ...

Two new runners — `zdt1_moead` and `dtlz2_moead` — using the same
SBX + PolyMut variation as the other Pareto-based methods. Reference
divisions chosen so the implied population size is comparable to the
other algorithms in each section (99 → 100 weights for ZDT1; 12 → 91
weights for DTLZ2).

2026-05-04 20:02:54 -06:00

..

benchmarks.rs

docs(examples): switch ZDT1 to canonical NSGA-II operators (SBX + PolyMut)

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compare.rs

feat(examples): add MOEA/D to ZDT1 and DTLZ2 comparison sections

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custom_optimizer.rs

docs(examples): add toy_nsga2, random_search, and custom_optimizer

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random_search.rs

docs(examples): add toy_nsga2, random_search, and custom_optimizer

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toy_nsga2.rs

docs(examples): add toy_nsga2, random_search, and custom_optimizer

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