An Interval-parameter Multi-stage Stochastic Chance-constrained Mixed Integer Programming Model for Inter-basin Water Resources Management Systems under Uncertainty

被引：6
|
作者：
Han, Y. C. [1 ]
Huang, G. H. [2 ]
Li, C. H. [1 ]
机构：
[1] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China
[2] Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, PROCEEDINGS | 2008年
关键词：
Decision making; Environment; Inexact optimization; Multistage; Uncertainty; Water resources;
D O I：
10.1109/FSKD.2008.465
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, an interval-parameter multi-stage stochastic chance-constrained mixed integer programming (IMSCMIP) method has been developed for inter-basin water resources management systems under uncertainty. By incorporating the chance-constrained programming (CCP) techniques, and mixed integer programming within an interval-parameter multi-stage stochastic programming framework, the model improves upon the interval-parameter multi-stage stochastic programming (IMSP) and can deal with uncertainties expressed as not only possibility and probabilities distributions but also as discrete intervals, and can incorporate pre-defined water policies directly into its optimization process. A multilayer scenario tree is used to tackle the uncertainties expressed as probability distributions and discrete intervals in IMSCMIP.
引用
收藏
页码：146 / +
页数：3
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