A convolutional neural network for the resource-constrained project scheduling problem (RCPSP): A new approach
- DOI
- 10.5267/j.dsl.2023.2.002
- Published
- 2023
- Container
- Decision Science Letters
- Publisher
- Growing Science
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5267/j.dsl.2023.2.002,
title = {A convolutional neural network for the resource-constrained project scheduling problem (RCPSP): A new approach},
author = {Amir Golab and Ehsan Sedgh Gooya and Ayman Al Falou and Mikael Cabon},
year = {2023},
journal = {Decision Science Letters},
doi = {10.5267/j.dsl.2023.2.002},
url = {https://doi.org/10.5267/j.dsl.2023.2.002}
}RIS
TY - JOUR TI - A convolutional neural network for the resource-constrained project scheduling problem (RCPSP): A new approach AU - Amir Golab AU - Ehsan Sedgh Gooya AU - Ayman Al Falou AU - Mikael Cabon PY - 2023 JO - Decision Science Letters DO - 10.5267/j.dsl.2023.2.002 UR - https://doi.org/10.5267/j.dsl.2023.2.002 ER -
APA
Golab, A., Gooya, E. S., Falou, A. A., & Cabon, M. (2023). A convolutional neural network for the resource-constrained project scheduling problem (RCPSP): A new approach. Decision Science Letters. https://doi.org/10.5267/j.dsl.2023.2.002
Source records
- crossref · retrieved 2026-09-25T03:07:13.308Z