SARL-HHNAS: A State-Aware Reinforcement Learning Hyper-Heuristic for Cost-Efficient Neural Architecture Search in Deep Classification
- DOI
- 10.20944/preprints202611.0121.v1
- Published
- 2026-11-03
- Container
- Not recorded
- Publisher
- MDPI AG
- Open access
- unknown
Credibility signals
uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- cautionPublication version: Identified as a preprint; peer review and later versions may change the record.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.20944/preprints202611.0121.v1,
title = {SARL-HHNAS: A State-Aware Reinforcement Learning Hyper-Heuristic for Cost-Efficient Neural Architecture Search in Deep Classification},
author = {Alaa Khudhair Abbas and Saba Alaa Abdulwahhab and Esam Taha Yassen and Belal Al-Khateeb},
year = {2026},
doi = {10.20944/preprints202611.0121.v1},
url = {https://doi.org/10.20944/preprints202611.0121.v1}
}RIS
TY - JOUR TI - SARL-HHNAS: A State-Aware Reinforcement Learning Hyper-Heuristic for Cost-Efficient Neural Architecture Search in Deep Classification AU - Alaa Khudhair Abbas AU - Saba Alaa Abdulwahhab AU - Esam Taha Yassen AU - Belal Al-Khateeb PY - 2026 DO - 10.20944/preprints202611.0121.v1 UR - https://doi.org/10.20944/preprints202611.0121.v1 ER -
APA
Abbas, A. K., Abdulwahhab, S. A., Yassen, E. T., & Al-Khateeb, B. (2026). SARL-HHNAS: A State-Aware Reinforcement Learning Hyper-Heuristic for Cost-Efficient Neural Architecture Search in Deep Classification. https://doi.org/10.20944/preprints202611.0121.v1
Source records
- crossref · retrieved 2026-11-05T08:26:20.785Z