A novel multi-objective dynamic flexible job shop scheduling algorithm using reinforced learning based black widow spider algorithm.

Akram K, Bhutta MU, Butt SI, Rizwan M, Khan MS, Khan M, Khan A.

Open source

DOI: 10.1371/journal.pone.0347108
Published: 2026-04-20
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0347108,
  title = {A novel multi-objective dynamic flexible job shop scheduling algorithm using reinforced learning based black widow spider algorithm.},
  author = {Akram K and  Bhutta MU and  Butt SI and  Rizwan M and  Khan MS and  Khan M and  Khan A.},
  year = {2026},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0347108},
  url = {https://doi.org/10.1371/journal.pone.0347108}
}

RIS

TY  - JOUR
TI  - A novel multi-objective dynamic flexible job shop scheduling algorithm using reinforced learning based black widow spider algorithm.
AU  - Akram K
AU  -  Bhutta MU
AU  -  Butt SI
AU  -  Rizwan M
AU  -  Khan MS
AU  -  Khan M
AU  -  Khan A.
PY  - 2026
JO  - PLoS One
DO  - 10.1371/journal.pone.0347108
UR  - https://doi.org/10.1371/journal.pone.0347108
ER  -

APA

K, A., MU, B., SI, B., M, R., MS, K., M, K., & A., K. (2026). A novel multi-objective dynamic flexible job shop scheduling algorithm using reinforced learning based black widow spider algorithm.. PLoS One. https://doi.org/10.1371/journal.pone.0347108

Source records

europe-pmc · retrieved 2026-09-25T15:36:06.053Z
doaj · retrieved 2026-09-25T15:36:06.018Z