.png){kind=icon}
返回
Dynamic programming with ordered structures: Theory, examples and applications
.png){kind=icon}
PRE
AI
DOI：10.1016/j.fss.2010.03.012.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The paper presents a dynamic, discrete optimization model with returns in ordered structures. It generalizes multiobjective methods used in vector optimization in two ways: from real vector spaces to ordered structures and from the static model to the dynamic model. The proposed methods are based on isotone homomorphisms. These methods can be applied in dynamic programming with returns in ordered structures. The provided numerical example shows an application of fuzzy numbers and random variables with stochastic dominance in dynamic programming. The paper also proposes applications in the following problems: a problem of allocations in the market model, a location problem, a railway routing problem, and a single-machine scheduling problem. (C) 2010 Elsevier B.V. All rights reserved.
Keyword:
Dynamic programming
Multiobjective programming
Ordered structures
Fuzzy numbers
Stochastic dominance
期刊
IF:
2.7
论文数:
7.6K
被引数:
1.5W
机构
暂无机构信息
引用论文
分享收藏05.15: Development of circular tube slenderness classifications under axial and bending actions.png)
ce/papers
ce/papersIF0
PREAI
分享收藏Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems通过多属性优势对确定性，随机和模糊决策问题的偏好关系进行粗略逼近
PREAI
分享收藏
查看更多内容