Model and extended Kuhn–Tucker approach for bilevel multi-follower decision making in a referential-uncooperative situation

被引:25
作者
Jie Lu
Chenggen Shi
Guangquan Zhang
Tharam Dillon
机构
[1] University of Technology,Faculty of Information Technology
来源
Journal of Global Optimization | 2007年 / 38卷
关键词
Bilevel programming; Bilevel multi-follower decision; Kuhn–Tucker approach; Optimization;
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学科分类号
摘要
When multiple followers are involved in a bilevel decision problem, the leader’s decision will be affected, not only by the reactions of these followers, but also by the relationships among these followers. One of the popular situations within this bilevel multi-follower issue is where these followers are uncooperatively making their decisions while having cross reference to decision information of the other followers. This situation is called a referential-uncooperative situation in this paper. The well-known Kuhn–Tucker approach has been previously successfully applied to a one-leader-and-one-follower linear bilevel decision problem. This paper extends this approach to deal with the above-mentioned linear referential-uncooperative bilevel multi-follower decision problem. The paper first presents a decision model for this problem. It then proposes an extended Kuhn–Tucker approach to solve this problem. Finally, a numerical example illustrates the application of the extended Kuhn–Tucker approach.
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页码:597 / 608
页数:11
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