Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Novák, Antonín"'
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
This paper examines scheduling problem denoted as $P|seq, ser|C_{max}$ in Graham's notation; in other words, scheduling of tasks on parallel identical machines ($P$) with sequence-dependent setups ($seq$) each performed by one of the available server
Externí odkaz:
http://arxiv.org/abs/2305.19888
Publikováno v:
16eme Congr{\`e}s Fran{\c c}ais d'Acoustique, Apr 2022, Marseille, France
In modern audio systems, real-time digital signal processing algorithms are widely used for a variety of applications. The possibility of using a simple electronic circuit for variety of research projects has shown remarkable potential and is gradual
Externí odkaz:
http://arxiv.org/abs/2206.07516
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
Publikováno v:
In European Journal of Operational Research 1 August 2023 308(3):990-1006
Publikováno v:
In European Journal of Operational Research 16 October 2022 302(2):438-455
Publikováno v:
In Computers & Industrial Engineering October 2022 172 Part A
Publikováno v:
In European Journal of Operational Research 16 April 2022 298(2):413-424
Publikováno v:
In European Journal of Operational Research 1 March 2022 297(2):422-441