Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies
- DOI
- 10.1002/eng2.70719
- Published
- 05
- Container
- Engineering Reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1002/eng2.70719,
title = {Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies},
author = {Sandeep Deshmukh and Deepak Chandra Uprety and Mohd Haroon and Dyuti Banerjee and Preety Shoran and Yash Varshney and Anurag Sinha and Samarth Sinha and Shantanu Kumar Mishra},
year = {2026},
journal = {Engineering Reports},
doi = {10.1002/eng2.70719},
url = {https://doi.org/10.1002/eng2.70719}
}RIS
TY - JOUR TI - Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies AU - Sandeep Deshmukh AU - Deepak Chandra Uprety AU - Mohd Haroon AU - Dyuti Banerjee AU - Preety Shoran AU - Yash Varshney AU - Anurag Sinha AU - Samarth Sinha AU - Shantanu Kumar Mishra PY - 2026 JO - Engineering Reports DO - 10.1002/eng2.70719 UR - https://doi.org/10.1002/eng2.70719 ER -
APA
Deshmukh, S., Uprety, D. C., Haroon, M., Banerjee, D., Shoran, P., Varshney, Y., Sinha, A., Sinha, S., & Mishra, S. K. (2026). Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies. Engineering Reports. https://doi.org/10.1002/eng2.70719
Source records
- doaj · retrieved 2026-09-26T16:22:39.450Z