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| Content Provider | Springer Nature Link |
|---|---|
| Author | Goerigk, Marc |
| Copyright Year | 2014 |
| Abstract | In the periodic event scheduling problem, periodically reoccurring events need to be scheduled, subject to constraints on the resulting time differences. A typical application for this type of problem relates to train schedules, which have to repeat every hour for passenger convenience. As external disruptions may occur, robustness considerations need to be included in the scheduling process. In this work, we present a recovery approach for instances where integer programming methods can be applied, and a bi-criteria local search algorithm for large-scale instances. In computational experiments, we compare solutions calculated using the recovery approach to risk-averse and to risk-oblivious solutions. Our results suggest that the solutions generated by our approach have a favorable trade-off between cost and robustness. Furthermore, we compare the local search algorithm to a simplified approach that includes the desired robustness level as a hard constraint. The experiments show that our algorithm finds an improved set of non-dominated solutions within equal computation times. |
| Starting Page | 101 |
| Ending Page | 119 |
| Page Count | 19 |
| File Format | |
| ISSN | 1866749X |
| Journal | Public Transport |
| Volume Number | 7 |
| Issue Number | 1 |
| e-ISSN | 16137159 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2014-12-23 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Robust optimization Recovery robustness Periodic event scheduling Periodic timetabling Operations Research/Decision Theory Automotive Engineering Computer-Aided Engineering (CAD, CAE) and Design Transportation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research Information Systems Transportation Mechanical Engineering |
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