Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm.
- DOI
- 10.1109/tcyb.2022.3164165
- Published
- 2023-05-17
- Container
- IEEE Trans Cybern
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2022.3164165,
title = {Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm.},
author = {Pan Y and Gao K and Li Z and Wu N.},
year = {2023},
journal = {IEEE Trans Cybern},
doi = {10.1109/tcyb.2022.3164165},
url = {https://doi.org/10.1109/tcyb.2022.3164165}
}RIS
TY - JOUR TI - Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm. AU - Pan Y AU - Gao K AU - Li Z AU - Wu N. PY - 2023 JO - IEEE Trans Cybern DO - 10.1109/tcyb.2022.3164165 UR - https://doi.org/10.1109/tcyb.2022.3164165 ER -
APA
Y, P., K, G., Z, L., & N., W. (2023). Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm.. IEEE Trans Cybern. https://doi.org/10.1109/tcyb.2022.3164165
Source records
- europe-pmc · retrieved 2026-09-25T20:10:24.383Z