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Semi-online scheduling on two identical machines with a common due date to maximize total early work

  • Published:2021-02 Issue: Volume:290 Page:71-78
  • ISSN:0166-218X
  • Container-title:Discrete Applied Mathematics
  • language:en
  • Short-container-title:Discrete Applied Mathematics

Author:

Chen Xin,Kovalev Sergey,Liu Yuqing,Sterna Małgorzata,Chalamon Isabelle,Błażewicz Jacek

Funder

Natural Science Foundation of Liaoning, China

Overseas Training Foundation of Liaoning, China

Poznan University of Technology, Poland

Publisher

Elsevier BV

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics

Reference30 articles.

1. Minimizing the total weighted late work in scheduling of identical parallel processors with communication delays;Abasian;Appl. Math. Model.,2014

2. Scheduling preemptible tasks on parallel processors with information loss;Błażewicz;Tech. Sci. Inform.,1984

3. Minimizing mean weighted execution time loss on identical and uniform processors;Błażewicz;Inform. Process. Lett.,1987

4. Open shop scheduling problems with late work criteria;Błażewicz;Discrete Appl. Math.,2004

5. The two-machine flow-shop problem with weighted late work criterion and common due date;Błażewicz;European J. Oper. Res.,2005

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online early work scheduling on parallel machines;European Journal of Operational Research;2024-06

2. Algorithms for the semi-online MapReduce scheduling problem on two identical machines;Journal of Intelligent & Fuzzy Systems;2024-04-12

3. Online and semi-online scheduling on two hierarchical machines with a common due date to maximize the total early work;International Journal of Applied Mathematics and Computer Science;2024

4. Scheduling with Hierarchies and Overload Cost;Communications in Computer and Information Science;2023-11-26

5. Semi-online early work maximization problems on two hierarchical uniform machines with partial information of processing time;Journal of Combinatorial Optimization;2023-10
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