The Kth-Best Approach for Linear Bilevel Multi-follower Programming

被引：0
|
作者：
Chenggen Shi
Guangquan Zhang
Jie Lu
机构：
[1] University of Technology,Faculty of Information Technology
来源：
Journal of Global Optimization | 2005年 / 33卷
关键词：
bilevel decision-making; decision-making optimization; th-best approach; linear bilevel programming; multi-follower programming;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The majority of research on bilevel programming has centered on the linear version of the problem in which only one leader and one follower are involved. This paper addresses linear bilevel multi-follower programming (BLMFP) problems in which there is no sharing information among followers. It explores the theoretical properties of linear BLMFP, extends the Kth-best approach for solving linear BLMFP problems and gives a computational test for this approach.
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页码：563 / 578
页数：15
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