A dual-randomness bi-level interval multi-objective programming model for regional water resources management

In this research, a dual-randomness bi-level interval multi-objective programming (DR-BIMP) model was developed for supporting water resources management among multiple water sectors under complexities and uncertainties. Techniques of bi-level multi-objective programming (BMOP), double-sided stochas...

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Bibliographic Details
Published in:	Journal of contaminant hydrology Vol. 241; p. 103816
Main Authors:	Xiao, Jun, Cai, Yanpeng, He, Yanhu, Xie, Yulei, Yang, Zhifeng
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.08.2021
Subjects:	Bi-level multi-objective programming China Complexities and uncertainties decision making Double-sided stochastic chance-constrained programming hydrology Interval parameter programming probability distribution water management Water resources management watersheds China Interval parameter programming Bi-level multi-objective programming Water resources management Complexities and uncertainties Double-sided stochastic chance-constrained programming
ISSN:	0169-7722, 1873-6009, 1873-6009
Online Access:	Get full text
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