Multi-objective Cultured Differential Evolution for Generating Optimal Trade-offs in Reservoir Flood Control Operation

2010 ◽  
Vol 24 (11) ◽  
pp. 2611-2632 ◽  
Author(s):  
Hui Qin ◽  
Jianzhong Zhou ◽  
Youlin Lu ◽  
Yinghai Li ◽  
Yongchuan Zhang
Keyword(s):  
Differential Evolution ◽  
Flood Control ◽  
Control Operation ◽  
Multi Objective ◽  
Trade Offs ◽  
Flood Control Operation ◽  
Reservoir Flood Control Operation

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

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.

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.

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