Citations refer to the original publication, not to a Scieee localized version.
Pascual de la Pisa, M., Molina Gómez, J. C., & Eguía Salinas, I. (2024). Ant colony algorithms for minimizing costs in multi-mode resource constrained project scheduling problems with spatial constraints. Growing Science. https://doi.org/10.5267/j.ijiec.2024.5.002
Pascual de la Pisa, Miguel, et al. Ant colony algorithms for minimizing costs in multi-mode resource constrained project scheduling problems with spatial constraints. Growing Science, 2024. https://doi.org/10.5267/j.ijiec.2024.5.002.
Pascual de la Pisa, Miguel, José Carlos Molina Gómez, and Ignacio Eguía Salinas. Ant colony algorithms for minimizing costs in multi-mode resource constrained project scheduling problems with spatial constraints. Growing Science, 2024. https://doi.org/10.5267/j.ijiec.2024.5.002.
Pascual de la Pisa, M., Molina Gómez, J. C. and Eguía Salinas, I. (2024) Ant colony algorithms for minimizing costs in multi-mode resource constrained project scheduling problems with spatial constraints. Growing Science. Available at: https://doi.org/10.5267/j.ijiec.2024.5.002.
M. Pascual de la Pisa, J. C. Molina Gómez, and I. Eguía Salinas, “Ant colony algorithms for minimizing costs in multi-mode resource constrained project scheduling problems with spatial constraints,” Growing Science, 2024, doi: 10.5267/j.ijiec.2024.5.002.
@misc{pascualdelapisa2024colony,
author = {Pascual de la Pisa, Miguel and Molina Gómez, José Carlos and Eguía Salinas, Ignacio},
title = {Ant colony algorithms for minimizing costs in multi-mode resource constrained project scheduling problems with spatial constraints},
year = {2024},
publisher = {Growing Science},
doi = {10.5267/j.ijiec.2024.5.002},
url = {https://doi.org/10.5267/j.ijiec.2024.5.002}
}
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