An extended bilevel programming model and its Kth-best algorithm for dynamic decision making in emergency situations

Zhou, Hong and Lu, Jie and Zhang, GuangQuan (2014) An extended bilevel programming model and its Kth-best algorithm for dynamic decision making in emergency situations. In: IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM), 9-12 Dec 2014, Orlando, Florida, USA.

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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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 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.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Date Deposited: 21 Mar 2015 22:51
Last Modified: 13 Dec 2016 05:47
Uncontrolled Keywords: bilevel programming, virtual follower, kth-best approach, decision making
Fields of Research (2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Socio-Economic Objectives (2008): B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890104 Mobile Telephone Networks and Services
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: https://doi.org/10.1109/MCDM.2014.7007194
URI: http://eprints.usq.edu.au/id/eprint/26876

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