An extended bilevel programming model and its Kth-best algorithm for dynamic decision making in emergency situations
Paper
Zhou, Hong, Lu, Jie and Zhang, GuangQuan. 2014. "An extended bilevel programming model and its Kth-best algorithm for dynamic decision making in emergency situations." IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (2014). Orlando, United States 09 - 12 Dec 2014 Piscataway, NJ. USA. https://doi.org/10.1109/MCDM.2014.7007194
| Paper/Presentation Title | An extended bilevel programming model and its Kth-best algorithm for dynamic decision making in emergency situations |
|---|---|
| Presentation Type | Paper |
| Authors | Zhou, Hong (Author), Lu, Jie (Author) and Zhang, GuangQuan (Author) |
| Journal or Proceedings Title | Proceedings of IEEE Symposium Series on Computational Intelligence |
| ERA Conference ID | 43042 |
| Number of Pages | 6 |
| Year | 2014 |
| Place of Publication | Piscataway, NJ. USA |
| ISBN | 9781479944682 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/MCDM.2014.7007194 |
| Web Address (URL) of Paper | http://http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7007194 |
| Conference/Event | IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (2014) |
| IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making | |
| Event Details | IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making IEEE MCDM Rank C C |
| Event Details | IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (2014) Event Date 09 to end of 12 Dec 2014 Event Location Orlando, United States |
| Abstract | Linear bilevel programming has been studied for many years and applied in different domains such as transportation, economics, engineering, environment, and telecommunications. However, there is lack of attention of the impacts on dynamic decision making with abrupt or unusual events caused by unpredictable natural environment or human activities (e.g. Tsunami, earthquake, and malicious or terrorist attacks). In reality these events could happens more often and have more significant impacts on decision making in an increasingly complex and dynamic world. This paper addresses this unique problem by introducing a concept of Virtual Follower (VF). An extended model of bilevel multi-follower programming with a virtual follower (BLMFP-VF) is defined and the kth-best algorithm for solving this problem is proposed. An example is given to illustrate the working of the extended model and approach. |
| Keywords | bilevel programming, virtual follower, kth-best approach, decision making |
| ANZSRC Field of Research 2020 | 460609. Networking and communications |
| 460902. Decision support and group support systems | |
| Public Notes | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Byline Affiliations | Faculty of Health, Engineering and Sciences |
| University of Technology Sydney | |
| Institution of Origin | University of Southern Queensland |
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