pith:SYAGVP25
Proven Advantage of Multiobjective Evolutionary Algorithms for Problems with Different Degrees of Conflict
MOEAs achieve expected runtime O(max{k,1}n ln n) on OneMaxMin_k for any conflict degree k, while scalarization fails to cover the Pareto front for k>2
arxiv:2408.04207 v3 · 2024-08-08 · cs.NE
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Claims
We prove the same expected runtime of O(max{k,1}n ln n) for the (G)SEMO, MOEA/D, NSGA-II, and SMS-EMOA on OneMaxMin_k.
The analysis assumes that the specific definition of OneMaxMin_k (with its per-bit conflict structure for each k) accurately captures the intended degrees of conflict and that the standard selection and variation operators of the listed MOEAs behave as modeled in the runtime proofs (Section 3 and 4).
MOEAs achieve O(max{k,1}n ln n) expected runtime on OneMaxMin_k for all k while scalarization fails full coverage for k>2 and epsilon-constraint requires tuned parameters.
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Receipt and verification
| First computed | 2026-06-09T02:07:00.046711Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
96006abf5df77ddc801d4a85a6e5f20cb769f9d73c37e03778af5fd0b3cb2000
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/SYAGVP256565ZAA5JKC2NZPSBS \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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