Shi, Chenggen and Zhou, Hong and Lu, Jie and Zhang, Guangquan and Zhang, Zhongwei (2007) The Kth-best approach for linear bilevel multifollower programming with partial shared variables among followers. Applied Mathematics and Computation, 188 (2). pp. 1686-1698. ISSN 0096-3003
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Official URL: https://www.sciencedirect.com/science/article/pii/...
Abstract
In a real world bilevel decision-making, the lower level of a bilevel decision usually involves multiple decision units. This paper proposes the Kth-best approach for linear bilevel multifollower programming problems with sharing variables among followers. Finally a numeric example is given to show how the Kth-best approach works.
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Item Type: | Article (Commonwealth Reporting Category C) |
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Refereed: | No |
Item Status: | Live Archive |
Additional Information: | Author's version deposited in accordance with the copyright policy of the publisher. |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013) |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013) |
Date Deposited: | 21 Feb 2008 12:29 |
Last Modified: | 02 Aug 2021 05:04 |
Uncontrolled Keywords: | Linear bilevel programming, mulitfollower, Kth-bestg approach, Von Stackelberg game |
Fields of Research (2008): | 08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080299 Computation Theory and Mathematics not elsewhere classified 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010399 Numerical and Computational Mathematics not elsewhere classified |
Fields of Research (2020): | 46 INFORMATION AND COMPUTING SCIENCES > 4613 Theory of computation > 461399 Theory of computation not elsewhere classified 49 MATHEMATICAL SCIENCES > 4903 Numerical and computational mathematics > 490399 Numerical and computational mathematics not elsewhere classified |
Identification Number or DOI: | https://doi.org/10.1016/j.amc.2006.11.176 |
URI: | http://eprints.usq.edu.au/id/eprint/1699 |
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