RETRACTED: MSFGQ: Design of an efficient Multiparametric model for improving sub-field scheduling performance via novel GA & Q-Learning optimizations
- DOI
- 10.3233/jifs-233784
- Published
- 2024-05-04
- Container
- Journal of Intelligent & Fuzzy Systems
- Publisher
- SAGE Publications
- Open access
- unknown
Credibility signals
serious concern Score 29/100 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.
- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
- 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.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3233/jifs-233784,
title = {RETRACTED: MSFGQ: Design of an efficient Multiparametric model for improving sub-field scheduling performance via novel GA \& Q-Learning optimizations},
author = {Vinay H. Keswani and Paritosh Peshwe},
year = {2024},
journal = {Journal of Intelligent \& Fuzzy Systems},
doi = {10.3233/jifs-233784},
url = {https://doi.org/10.3233/jifs-233784}
}RIS
TY - JOUR TI - RETRACTED: MSFGQ: Design of an efficient Multiparametric model for improving sub-field scheduling performance via novel GA & Q-Learning optimizations AU - Vinay H. Keswani AU - Paritosh Peshwe PY - 2024 JO - Journal of Intelligent & Fuzzy Systems DO - 10.3233/jifs-233784 UR - https://doi.org/10.3233/jifs-233784 ER -
APA
Keswani, V. H., & Peshwe, P. (2024). RETRACTED: MSFGQ: Design of an efficient Multiparametric model for improving sub-field scheduling performance via novel GA & Q-Learning optimizations. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/jifs-233784
Source records
- crossref · retrieved 2026-09-24T23:12:56.692Z