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pith:5SDNXUM7

pith:2025:5SDNXUM72FOSHGXCE5P2BE7JVU
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Robust Differential Evolution via Nonlinear Population Size Reduction and Adaptive Restart: The ARRDE Algorithm

Ahsani Hafizhu Shali, Haris Suhendar, Khoirul Faiq Muzakka, Martin Finsterbusch, S\"oren M\"oller

ARRDE stabilizes differential evolution performance across five CEC benchmark suites with different dimensions and complexities.

arxiv:2511.18429 v4 · 2025-11-23 · cs.NE · math.OC

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4 Citations open
5 Replications open
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Claims

C1strongest claim

Using both the official suite-specific metrics and the proposed robustness-oriented metric, ARRDE consistently demonstrates top-tier performance and one of the most stable aggregate profiles across all benchmark suites.

C2weakest assumption

That superior performance on the chosen CEC suites with the new scoring metric implies genuine cross-regime robustness rather than being an artifact of the specific test collection or implementation details.

C3one line summary

ARRDE achieves top-tier and stable performance across five CEC benchmark suites via adaptive restart-refine and dimensionality-dependent nonlinear population reduction.

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First computed 2026-05-21T02:04:55.023652Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ec86dbd19fd15d239ae2275fa093e9ad34f1115e2945ffec7516e258c7f19049

Aliases

arxiv: 2511.18429 · arxiv_version: 2511.18429v4 · doi: 10.48550/arxiv.2511.18429 · pith_short_12: 5SDNXUM72FOS · pith_short_16: 5SDNXUM72FOSHGXC · pith_short_8: 5SDNXUM7
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5SDNXUM72FOSHGXCE5P2BE7JVU \
  | 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: ec86dbd19fd15d239ae2275fa093e9ad34f1115e2945ffec7516e258c7f19049
Canonical record JSON
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    "primary_cat": "cs.NE",
    "submitted_at": "2025-11-23T12:50:25Z",
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