A new parallel algorithm to solve one classic water resources optimal allocation problem based on inspired computational model

2019 ◽  
Vol 160 ◽  
pp. 214-218
Author(s):  
Zuwen Ji ◽  
Zhaocai Wang ◽  
Anjun Deng ◽  
Wei Huang ◽  
Tunhua Wu
2012 ◽  
Vol 518-523 ◽  
pp. 4165-4170
Author(s):  
Xiao Yu Song ◽  
Huai You Li ◽  
Wen Juan Shi

In this paper, based on the fact of water resources shortage, environmental degradation in Chanba River basin, using multi-objective optimization theory, we established the ecology-oriented water resources optimal allocation model and achieved the coupling between water quantity and quality. According to supply and demand of water resources in two levels of years (2020, 2030) and the guaranteed rate 75%, developed model parameters (coefficients), called the optimization function to solve it. The model is applied to Chanba River basin, indicating that the model is reasonable, efficient algorithms The optimal allocation model and the results reflect the concept of sustainable development for ecological, economic efficiency and help to improve water supply reliability, the sustainable use of water resources planning and management provides a basis for decision making.


2013 ◽  
Vol 385-386 ◽  
pp. 420-423
Author(s):  
Bin Liu ◽  
Jin Xia Sha ◽  
Zhi Hong Yan ◽  
Ting Ting Zhang

With the rapid development of economy, the shortage of water resources became more serious at the eastern of Handan city, it is important to allocate the limited water resources reasonably. Based on the multi-objective planning theory, building up the model of the optimal allocation water resources. The goal of the model targeted at the maximum benefits of the economy, the society and the environment, which solved by PSO, to acquire the water resources optimal allocation program of different guaranteed rate in 2030, and supply the basis for the water resources planning and management. The results of optimal allocation show that the PSO is feasible in the water resources optimal allocation.


2015 ◽  
Vol 29 (7) ◽  
pp. 2171-2187 ◽  
Author(s):  
Chunlong Li ◽  
Jianzhong Zhou ◽  
Shuo Ouyang ◽  
Chao Wang ◽  
Yi Liu

2014 ◽  
Vol 937 ◽  
pp. 559-564
Author(s):  
Tai Zhong Gao ◽  
Can Can Zhang ◽  
Hui Cong Pang

Water resource is irreplaceable as one kind of important natural resources and strategic economic resources. Water resources optimal allocation is an important means to solve the problem of water resources to keep the relative balance of the supply and demand. For ensuring the sustainable development, according to the South-to-North Water Transfer Project, and aiming at the maximum synthesized benefits, the model for water resources optimal allocation was established. A lot of factors were considered. The cause function, restriction and parameters were discussed. At last, optimal allocation of water resources in the middle line of Project in Hebei Province was studied under the guarantee of 95 % in 2010 and 2014. The results showed that the Project can solve the serious water shortage in Hebei province, North China.


2013 ◽  
Vol 278-280 ◽  
pp. 1271-1274 ◽  
Author(s):  
Ke Peng Feng ◽  
Jun Cang Tian

Differential evolution is a simple and powerful globally optimization new algorithm. It is a population-based, direct search algorithm, and has been successfully applied in various fields. Optimal allocation of water resources is an important part of the planning of water resources. Traditional planning methods prove insufficient for the multi-objective system of water resources. In this paper, multi-objective differential evolution(MODE) algorithm applied to the regional water resources optimal allocation, through definition of economic, social, Eco-environmental three objective function and the constraints, the regional water resources optimal allocation model has been established, and then multi-objective genetic algorithm is used to solve the model .The model gets different results for optimal allocation water resources of Ningxia in 2030(Guarantee rate of water supply 50% and 75%). The result of example proves that the method is reasonable and feasible in the application of region water resources optimal allocation.


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