Production scheduling in the aquaculture industry based on bio-economic simulation and genetic algorithms
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Fecha de publicación:
2023
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Citación:
Luna, M., Fuente, D. de la, Parreño, J., León, O. (2023). Production scheduling in the aquaculture industry based on bio-economic simulation and genetic algorithms. En F. P. García Márquez, I. Segovia Ramírez, P. J. Bernalte Sánchez, A. Muñoz del Río (eds). IoT and data science in engineering management. CIO 2022 (pp. 130-135). Cham : Springer
Descripción física:
p. 130-135
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Patrocinado por:
This work was financially supported by the State Research Agency of the Spanish Ministry of Science and Innovation (MCIN/AEI/https://doi.org/10.13039/501100 011033), via the Project ‘Speeding Up the transition towards Resilient circular economy networks: forecasting, inventory and production control, reverse logistics and supply chain dynamics” (SPUR, grant ref. PID2020-117021GB-I00).
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