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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bin Xu Yun Ling |
| Copyright Year | 2007 |
| Description | Author affiliation: Zhejiang Gongshang Univ., Hangzhou (Bin Xu; Yun Ling) |
| Abstract | Critical path analysis can be a good tool when scheduling the tasks with pre-determined. Typically there are multiple kinds of resource and each has different cost and limitation in the progress of the projects. Current existent formal methods seemed to be weak in scheduling the tasks in such large projects. Genetic algorithm has been proposed to optimize the scheduling with resource constrains. They can report an optimized result, but they lack the analysis of the scheduling conflict and there is no thread for further improvement. In this paper, the authors bring forth a new concept "labor opportunity contribution", and present yet another formal solution based on such concept. This method can handle the dynamic task scheduling and the scheduling conflict analysis, which enables the further improvement. |
| Starting Page | 3075 |
| Ending Page | 3080 |
| File Size | 773189 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424409723 |
| DOI | 10.1109/ICMLC.2007.4370676 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dynamic scheduling Genetic algorithms Machine learning Cybernetics Processor scheduling Information analysis Costs Yarn Algorithm design and analysis Educational institutions Scheduling conflict analysis Critical path analysis Genetic algorithm Task network Resource limited project controlling Labor opportunity contribution Dynamic task scheduling |
| Content Type | Text |
| Resource Type | Article |
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