Online Early Work Maximization Problem on Two Hierarchical Machines with Buffer or Rearrangements
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-16081-3_5
Reference18 articles.
1. Chassid, O., Epstein, L.: The hierarchical model for load balancing on two machines. J. Comb. Optim. 15(4), 305–314 (2008)
2. Chen, X., Ding, N., Dosa, G., Han, X., Jiang, H.: Online hierarchical scheduling on two machines with known total size of low-hierarchy jobs. Int. J. Comput. Math. 92(5–6), 873–881 (2015)
3. Chen, X., Sterna, M., Han, X., Blazewicz, J.: Scheduling on parallel identical machines with late work criterion: offline and online cases. J. Sched. 19(6), 729–736 (2016)
4. Chen, X., Xu, Z., Dosa, G., Han, X., Jiang, H.: Semi-online hierarchical scheduling problems with buffer or rearrangements. Inf. Process. Lett. 113, 127–131 (2013)
5. Dai, B., Li, J., Li, W.: Semi-online hierarchical scheduling for bag-of-tasks on two machines. In: Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, pp. 609–614 (2018)
Cited by 6 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. Semi-Online Algorithms for the Hierarchical Extensible Bin-Packing Problem and Early Work Problem;Computation;2024-04-01
2. Semi-online early work maximization problems on two hierarchical uniform machines with partial information of processing time;Journal of Combinatorial Optimization;2023-10
3. Combinatorial approximation algorithms for the maximum bounded connected bipartition problem;Journal of Combinatorial Optimization;2023-01
4. Early Work Maximization Problem on Two Machines Under a Grade of Service Provision;Proceedings of the 2022 6th International Conference on Computer Science and Artificial Intelligence;2022-12-09
5. Multi-Task Hierarchical Scheduling Problem with Common Due Time on Two Parallel Machines*;2022 China Automation Congress (CAC);2022-11-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3