Self-adaptive multi-objective evolutionary algorithm based on decomposition for large-scale problems: A case study on reservoir flood control operation

2016 ◽  
Vol 367-368 ◽  
pp. 529-549 ◽  
Author(s):  
Yutao Qi ◽  
Liang Bao ◽  
Xiaoliang Ma ◽  
Qiguang Miao ◽  
Xiaodong Li
Keyword(s):  
Evolutionary Algorithm ◽  
Flood Control ◽  
Large Scale ◽  
Control Operation ◽  
Multi Objective ◽  
Large Scale Problems ◽  
Flood Control Operation ◽  
Reservoir Flood Control Operation ◽  
Self Adaptive

A novel multi-objective electromagnetism-like mechanism algorithm with applications in reservoir flood control operation

2013 ◽  
Vol 69 (6) ◽  
pp. 1181-1190 ◽  
Author(s):  
Shuo Ouyang ◽  
Jianzhong Zhou ◽  
Hui Qin ◽  
Xiang Liao ◽  
Hao Wang
Keyword(s):  
Flood Control ◽  
Complex Problem ◽  
Test Problems ◽  
Nsga Ii ◽  
Control Operation ◽  
Multi Objective ◽  
Study Results ◽  
Flood Control Operation ◽  
Reservoir Flood Control Operation ◽  
Self Adaptive

Reservoir flood control operation (RFCO) is a complex problem that involves various constraints and purposes, which include the safety of the dam, watershed flood control and navigation. These objectives often conflict with each other. Thus, traditional methods have difficulty in solving the multi-objective problem efficiently. In this paper, a multi-objective self-adaptive electromagnetism-like mechanism (MOSEM) algorithm is introduced in the local searching operation of the proposed method. To enhance the optimization ability of EM, a self-adaptive parameter is applied in the local search operation of MOSEM for adjusting the values of parameters dynamically. Moreover, MOSEM is tested by several benchmark test problems and compared with some well-known multi-objective evolutionary algorithms. A case study is also used for solving RFCO problems of the Three Georges Reservoir by using the multi-objective cultured differential evolution (MOCDE), non-dominated sorting genetic algorithm-II (NSGA-II) and proposed MOSEM methods. The study results reveal that MOSEM can provide alternative Pareto-optimal solutions (POS) with better convergence properties and diversification.

scholarly journals Risk Assessment and Decision-Making Based on Mean-CVaR-Entropy for Flood Control Operation of Large Scale Reservoirs

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 649 ◽  
Author(s):  
Quansen Wang ◽  
Jianzhong Zhou ◽  
Kangdi Huang ◽  
Ling Dai ◽  
Gang Zha ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Flood Control ◽  
Large Scale ◽  
Yangtze River Basin ◽  
Mean Value ◽  
Operation System ◽  
Control Operation ◽  
Flood Control Operation ◽  
Reservoir Flood Control Operation

The risk inevitably exists in the process of flood control operation and decision-making of reservoir group, due to the hydrologic and hydraulic uncertain factors. In this study different stochastic simulation methods were applied to simulate these uncertainties in multi-reservoir flood control operation, and the risk caused by different uncertainties was evaluated from the mean value, extreme value and discrete degree of reservoir occupied storage capacity under uncertain conditions. In order to solve the conflict between risk assessment indexes and evaluate the comprehensive risk of different reservoirs in flood control operation schemes, the subjective weight and objective weight were used to construct the comprehensive risk assessment index, and the improved Mahalanobis distance TOPSIS method was used to select the optimal flood control operation scheme. The proposed method was applied to the flood control operation system in the mainstream and its tributaries of upper reaches of the Yangtze River basin, and 14 cascade reservoirs were selected as a case study. The results indicate that proposed method can evaluate the risk of multi-reservoir flood control operation from all perspectives and provide a new method for multi-criteria decision-making of reservoir flood control operation, and it breaks the limitation of the traditional risk analysis method which only evaluated by risk rate and cannot evaluate the risk of the multi-reservoir flood control operation system.

A Memetic Multi-objective Immune Algorithm for Reservoir Flood Control Operation

2016 ◽  
Vol 30 (9) ◽  
pp. 2957-2977 ◽  
Author(s):  
Yutao Qi ◽  
Liang Bao ◽  
Yingying Sun ◽  
Jungang Luo ◽  
Qiguang Miao
Keyword(s):  
Flood Control ◽  
Immune Algorithm ◽  
Control Operation ◽  
Multi Objective ◽  
Flood Control Operation ◽  
Reservoir Flood Control Operation

Multi-Objective Decision Model of Reservoir Flood Control Operation

2012 ◽  
Vol 212-213 ◽  
pp. 715-720 ◽  
Author(s):  
Xiao Hong Xing ◽  
Jun Gang Luo ◽  
Jian Cang Xie
Keyword(s):  
Decision Making ◽  
Flood Control ◽  
Flood Prevention ◽  
Control Operation ◽  
Fuzzy Partition ◽  
Multi Objective ◽  
Iterative Calculation ◽  
Flood Control Operation ◽  
Reservoir Flood Control Operation ◽  
Decision Making Model

To reservoir flood control operation of the multi-objective decision making. The proposed reservoir flood control operation. Then, according to the model, the weight of goals with realistic and easy to program have been obtained by iterative calculation. According to the weight goal has been to meet the goal of accuracy the value of integrated decision-making and fuzzy partition, and according to the results determined the type of the decision-making and an order. The example shows that the multi-objective decision making model may use in the reservoir the flood prevention dispatch practice.

Sign in / Sign up

Export Citation Format

Share Document