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Prospective Analysis for a Long-Term Optimal Labor Force Planning in Algeria (PALOLFA)

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Artificial Intelligence and Renewables Towards an Energy Transition (ICAIRES 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 174))

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Abstract

Objective programming models propose an explanatory framework to look at multi-criteria issues, including a couple of clashing targets. Genuine issues regularly include uncertain data, which makes weighted objective programming (WGP) models the most appealing decision. This article offers a WGP model that consolidates ideal resource distribution to simultaneously satisfy planned objectives on economic improvement, vitality utilization, workforce, and ozone-depleting substance (GHG) emanation decrease associated with key financial areas of Algeria. The model offers significant encounters to chiefs for fundamental arranging and adventure portions towards doable progression. We exhibit the authenticity and substantiality of the model through a numerical case.

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Correspondence to MS. Guellil .

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Guellil, M., Ghouali, S., Khedir, O., Benabou, D., Ayad, H., Sari-Hassoun, S. (2021). Prospective Analysis for a Long-Term Optimal Labor Force Planning in Algeria (PALOLFA). In: Hatti, M. (eds) Artificial Intelligence and Renewables Towards an Energy Transition. ICAIRES 2020. Lecture Notes in Networks and Systems, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-030-63846-7_69

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