Inexact stochastic dynamic programming method and application to water resources management in Shandong China under uncertainty

2012 ◽  
Vol 27 (5) ◽  
pp. 1207-1219 ◽  
Author(s):  
J. J. Gu ◽  
P. Guo ◽  
G. H. Huang
Keyword(s):  
Dynamic Programming ◽  
Water Resources ◽  
Water Resources Management ◽  
Stochastic Dynamic Programming ◽  
Programming Method ◽  
Dynamic Programming Method ◽  
Stochastic Dynamic ◽  
Resources Management

scholarly journals Risk Aversion Based Inexact Stochastic Dynamic Programming Approach for Water Resources Management Planning under Uncertainty

2019 ◽  
Vol 11 (24) ◽  
pp. 6926 ◽  
Author(s):  
Zhenfang Liu ◽  
Yang Zhou ◽  
Gordon Huang ◽  
Bin Luo
Keyword(s):  
Dynamic Programming ◽  
Water Resources ◽  
Risk Aversion ◽  
Water Resources Management ◽  
Stochastic Dynamic Programming ◽  
Decision Makers ◽  
Programming Approach ◽  
Stochastic Dynamic ◽  
Management Planning ◽  
Resources Management

In this study, a dual interval robust stochastic dynamic programming (DIRSDP) method is developed for planning water resources management systems under uncertainty. As an extension of the existing interval stochastic dynamic programming (ISDP) method, DIRSDP can deal with two-stage stochastic programming (TSP)-based planning problems associated with dynamic features, input uncertainties, and multistage concerns. Compared with other optimization methods dealing with uncertainties, the developed DIRSDP method has advantages in addressing uncertainties with complex presentations and reflecting decision makers’ risk-aversion attitudes within its optimization process. Parameters in the DIRSDP model can be represented as probability distributions as well as single and/or dual intervals. Decision makers’ risk-aversion attitudes can be reflected through restricting the deviation of the recourse costs to a tolerance level. Water-allocation plans can then be developed based on the analysis of tradeoffs between the system benefit and solution robustness. The developed method is applied to a case of water resources management planning. The solutions are reasonable, indicating applicability of the developed methodology.

Feeder Ship Size Optimization in Maritime Markets with Uncertainty

2021 ◽  
Vol 38 (03) ◽  
pp. 2040014
Author(s):  
Hongtao Hu ◽  
Jiao Mo ◽  
Lufei Huang
Keyword(s):  
Dynamic Programming ◽  
Stochastic Dynamic Programming ◽  
Numerical Experiments ◽  
Optimization Problem ◽  
Planning Horizon ◽  
Dynamic Programming Method ◽  
Size Optimization ◽  
Stochastic Dynamic ◽  
Shipping Company ◽  
Decision Behaviors

This paper considers the ship size optimization problem for a liner shipping company that provides feeder service between one hub port and one feeder port. In the maritime market with uncertainty, this problem becomes more challenging. This research first analyzes the decision behaviors of the shipping company. Then, a stochastic dynamic programming method is proposed to calculate the expected total volume of containers transported within the planning horizon. Using the calculated volumes as input parameters calculate the profit of each ship sizes and then determine the suitable ship size for the feeder route. Numerical experiments are performed to validate the effectiveness of the proposed method and the efficiency of the proposed algorithm.

scholarly journals Optimal Cropping Pattern for Water Resources Management in Sistan Region of Iran using Goal Programming Method

Ecopersia ◽  
2016 ◽  
Vol 4 (4) ◽  
pp. 1555-1567 ◽  
Author(s):  
Mohammad Reza Dahmardeh Ghaleno ◽  
◽  
Vahedberdi Sheikh ◽  
Amir Sadoddin ◽  
Mahmood Sabouhi Sabouni ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Goal Programming ◽  
Programming Method ◽  
Cropping Pattern ◽  
Resources Management ◽  
Optimal Cropping Pattern ◽  
Optimal Cropping
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