.png){kind=icon}
返回
Hybrid multilevel programming with uncertain random parameters
.png){kind=icon}
PRE
AI
DOI：10.1007/s10845-014-0985-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Multilevel programming is developed for modeling decentralized decision-making processes. For different management requirements and risk tolerances of different-level decision-makers, the decision-making criteria applied in different levels cannot be always the same. In this paper, a hybrid multilevel programming model with uncertain random parameters based on expected value model (EVM) and dependent-chance programming (DCP), named as EVM-DCP hybrid multilevel programming, is proposed. The corresponding concepts of Nash equilibrium and Stackelberg-Nash equilibrium are given. For some special case, an equivalent crisp mathematical programming is proposed. An approach integrating uncertain random simulations, Nash equilibrium searching approach and genetic algorithm is designed. Finally, a numerical experiment of uncertain random supply chain pricing decision problem is given.
Keyword:
Multilevel programming
Uncertain variable
Uncertain random programming
Dependent-chance programming
Expected value model
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.4
论文数:
3.5K
被引数:
1.1W
机构
引用论文
Uncertain random multilevel programming with application to production control problem.png)
SOFT COMPUTING
SOFT COMPUTINGIF2.5
PREAI
分享收藏
查看更多内容