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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Skowronski, M.E. Myszkowski, P.B. Adamski, M. Kwiatek, P. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Artificial Intell., Wroclaw Univ. of Technol., Wrocław, Poland (Skowronski, M.E.; Myszkowski, P.B.; Adamski, M.; Kwiatek, P.) |
| Abstract | In this article two approaches of Tabu Search in Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP) have been proposed, based on different neighbourhood generation methods. The first approach assumes swapping resources assigned to pair of tasks, while the second one proposes assigning any resource that could perform given task. Both approaches need to respect the skill constraints. The objective of this paper is to research the usability and robustness of proposed approaches in solving MS-RCPSP. Experiments have been performed using artificially created dataset instances, based on real-world instances, got from Volvo IT and verified by experienced project manager. Presented results show that Tabu Search (TS) based methods are efficient approaches that could be developed in the further work. |
| Starting Page | 153 |
| Ending Page | 158 |
| File Size | 376324 |
| Page Count | 6 |
| File Format | |
| ISBN | 9788360810521 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-08 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Polish Information Processing Society |
| Subject Keyword | Schedules Processor scheduling Robustness Scheduling Vectors Optimization Standards |
| Content Type | Text |
| Resource Type | Article |
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