Zobrazeno 1 - 10
of 13 908
pro vyhledávání: '"Scheduling problem"'
Autor:
Ahmed Abdulmunem Hussein
Publikováno v:
Jurnal Sisfokom, Vol 13, Iss 3, Pp 388-395 (2024)
This paper addresses the Hybrid Flow Shop Scheduling Problem (HFSSP) by integrating metaheuristic (MHs) and machine learning (ML) approaches. Specifically, we propose a hybrid algorithm by combining Ant Colony Optimization (ACO) and Iterated Local Se
Externí odkaz:
https://doaj.org/article/dc8bcbfd205146f9b7f672dc6b593b21
Autor:
Муса А. Хамид
Publikováno v:
Информатика. Экономика. Управление, Vol 3, Iss 4 (2024)
The permutation flow-shop scheduling problem (PFSP) is one of the widely analysed and investigated problems within the general field of scheduling, as its major focus is on the allocation and sequencing of a set of jobs across a set of machines in or
Externí odkaz:
https://doaj.org/article/5f8e4f2cb38f4d24b77a64de21060e9c
Publikováno v:
Production and Manufacturing Research: An Open Access Journal, Vol 12, Iss 1 (2024)
A Systematic Literature Review (SLR) on the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP), Uncertainty, and Resource Flexibility (human resource) is presented in this study. The main purpose is to help scholars with an overview of ex
Externí odkaz:
https://doaj.org/article/25ae893d0ca6470caff69431190ce2c4
Publikováno v:
International Journal of Web Information Systems, 2024, Vol. 20, Issue 4, pp. 374-394.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-09-2023-0147
Publikováno v:
Journal of Modelling in Management, 2024, Vol. 19, Issue 4, pp. 1136-1154.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JM2-06-2023-0123
Publikováno v:
Journal of Modelling in Management, 2024, Vol. 19, Issue 4, pp. 1155-1179.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JM2-06-2023-0130
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7009-7031 (2024)
Abstract This paper addresses the economic lot and delivery scheduling problem (ELDSP) within three-echelon supply chains, focusing on the complexities of demand uncertainty, limited shelf-life of products, and sequence-dependency of setups. We devel
Externí odkaz:
https://doaj.org/article/a241c3bdb9c24a3c995f1e3f9eaae62c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Quantum annealing emerges as a promising approach for tackling complex scheduling problems such as the resource-constrained project scheduling problem (RCPSP). This study represents the first application of quantum annealing to solve the RCP
Externí odkaz:
https://doaj.org/article/a78a011db6b5499b87f086b947e7daf6
Publikováno v:
BizInfo, Vol 15, Iss 1, Pp 1-10 (2024)
Today, the algorithm selection paradigm has become one of the promising approaches in the field of optimization problems. Its main goal is to solve each case of an optimization problem with the most accurate algorithm using machine learning technique
Externí odkaz:
https://doaj.org/article/224f89cf11ec48dfaa6766e8c61b9d9d
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6051-6080 (2024)
Abstract The resource-assisted processing operation involves the coupling of multi-dimensional sub-problem, which poses a challenge in scheduling system. In this study, a dimension-aware gain-sharing knowledge algorithm (DGSK) is presented to address
Externí odkaz:
https://doaj.org/article/7d8e1bc3352046a89b1d179ac173a4dc