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Open Access

Expression of Concern

Expression of Concern: An Efficient Hybrid Job Scheduling Optimization (EHJSO) approach to enhance resource search using Cuckoo and Grey Wolf Job Optimization for cloud environment

  • The PLOS One Editors

After this article [1] was published, concerns were noted that the articles cited as References 32 and 33 were retracted before [1] was published.

The PLOS One Editors issue this Expression of Concern to inform readers of the concerns identified. Readers are advised to interpret the article [1] with caution.

Reference

  1. 1. Paulraj D, Sethukarasi T, Neelakandan S, Prakash M, Baburaj E. An Efficient Hybrid Job Scheduling Optimization (EHJSO) approach to enhance resource search using Cuckoo and Grey Wolf Job Optimization for cloud environment. PLoS One. 2023;18(3):e0282600. pmid:36913423

Citation: The PLOS One Editors (2026) Expression of Concern: An Efficient Hybrid Job Scheduling Optimization (EHJSO) approach to enhance resource search using Cuckoo and Grey Wolf Job Optimization for cloud environment. PLoS One 21(9): e0357857. https://doi.org/10.1371/journal.pone.0357857

Published: September 8, 2026

Copyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.