Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Bouška, Michal"'
Publikováno v:
European Journal of Operational Research, Volume 308, Issue 3, 1 August 2023, Pages 990-1006
In this paper, we investigate the use of the deep learning method for solving a well-known NP-hard single machine scheduling problem with the objective of minimizing the total tardiness. We propose a deep neural network that acts as a polynomial-time
Externí odkaz:
http://arxiv.org/abs/2402.14847
In this paper, we investigate the use of deep learning for solving a classical NP-Hard single machine scheduling problem where the criterion is to minimize the total tardiness. Instead of designing an end-to-end machine learning model, we utilize wel
Externí odkaz:
http://arxiv.org/abs/2005.05579