pith:VMLPXBHG
Drain-Vortex Optimization: A Population-Based Metaheuristic Inspired by Multi-Drain Free-Vortex Flow
Drain-Vortex Optimization models candidate solutions as particles spiraling in a multi-drain free-vortex field to improve continuous optimization.
arxiv:2605.08883 v2 · 2026-05-09 · cs.NE
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\usepackage{pith}
\pithnumber{VMLPXBHGHRFRFFOT3O3SZHOZZ4}
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Record completeness
Claims
On CEC 2017, DVO achieves the best mean log10 error on 34 of 58 cases and the best Friedman average rank (1.67), and is significantly better than every baseline under Holm-corrected Wilcoxon tests.
That the specific combination of vortex-law regularization, three-phase switching thresholds, and basin-assignment rules produces a genuine advantage that will hold on problems outside the CEC collections used for tuning and validation.
DVO models optimization particles with a three-phase vortex update rule and outperforms several baselines on CEC 2017 benchmarks while using a calibration-validation split.
Formal links
Receipt and verification
| First computed | 2026-05-28T01:04:41.997914Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ab16fb84e63c4b1295d3dbb72c9dd9cf3410c45e4b8d7c1dee8f6a682e1e3e68
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VMLPXBHGHRFRFFOT3O3SZHOZZ4 \
| 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())"
# expect: ab16fb84e63c4b1295d3dbb72c9dd9cf3410c45e4b8d7c1dee8f6a682e1e3e68
Canonical record JSON
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