Cite this paper https://doi.org/https://doi.org/10.1016/j.cor.2026.107388 Copy URL
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@article{feng-shun2026,
title = {{Spatial decomposition-based variable neighborhood search algorithm for the integrated semiconductor backend production and distribution scheduling problem}},
author = {Feng-Shun Zhou et al.},
journal = {Computers and Operations Research},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1016/j.cor.2026.107388},
} TY - JOUR
TI - Spatial decomposition-based variable neighborhood search algorithm for the integrated semiconductor backend production and distribution scheduling problem
AU - al., Feng-Shun Zhou et
JO - Computers and Operations Research
PY - 2026
ER - Feng-Shun Zhou et al. (2026). Spatial decomposition-based variable neighborhood search algorithm for the integrated semiconductor backend production and distribution scheduling problem. *Computers and Operations Research*. https://doi.org/https://doi.org/10.1016/j.cor.2026.107388 Feng-Shun Zhou et al.. "Spatial decomposition-based variable neighborhood search algorithm for the integrated semiconductor backend production and distribution scheduling problem." *Computers and Operations Research* (2026). https://doi.org/https://doi.org/10.1016/j.cor.2026.107388. Spatial decomposition-based variable neighborhood search algorithm for the integrated semiconductor backend production and distribution scheduling problem
Feng-Shun Zhou et al. · Computers and Operations Research · 2026
https://doi.org/https://doi.org/10.1016/j.cor.2026.107388 Copy
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