scholarly journals Multi-objective Water Resources Optimum Allocation Scheme Based on Improved Standard Cuckoo Searching Algorithm (ISCSA)

2021 ◽  
Author(s):  
Ke Zhou
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Optimal Allocation ◽  
Optimal Solution ◽  
Local Optimum ◽  
Ecological Benefits ◽  
Multi Objective ◽  
Intelligent Optimization Algorithm ◽  
Water Resources Optimal Allocation

Abstract The standard cuckoo searching algorithm(SCSA)is a population intelligent optimization algorithm, which is also a new heuristic searching algorithm. The advantages of SCSA (such as convenient operation, heuristic searching, etc.) make it easy to find the optimal solution and maintain wider searching range. However, SCSA also has some drawbacks, such as long searching time, easy to fall into local optimum. In order to solve the problems existed in SCSA, in this paper, the improved standard cuckoo searching algorithm (ISCSA) was studied, which includes chaotic initialization and Gaussian disturbed algorithm. As a case study, taking economic, social and ecological benefits as the objective function, the multi-objective water resources optimal allocation models were constructed in Xianxiang Region, China. The ISCSA was applied to solve the water allocation models and the multi-objective optimal water supply scheme for Xinxiang region was obtained. The water resources optimal allocation schemes in the planning level year (2025) for 12 water supply sub-regions were predicted. The desirable eco-environment and benefits were achieved using the studied methods. The results show that the ISCSA has obvious advantages in the solution of water resources optimal allocation and planning.

The Study of Water Resources Optimal Allocation of South-North Project Receiving Area

2013 ◽  
Vol 385-386 ◽  
pp. 420-423
Author(s):  
Bin Liu ◽  
Jin Xia Sha ◽  
Zhi Hong Yan ◽  
Ting Ting Zhang
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Rapid Development ◽  
Theory Building ◽  
Planning Theory ◽  
Water Resources Planning ◽  
Multi Objective ◽  
Handan City ◽  
Resources Planning ◽  
Water Resources Optimal Allocation

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.

Study for Modeling and Solving Method of Water Resources Optimizing Allocation under Considering Uncertainties

2012 ◽  
Vol 212-213 ◽  
pp. 554-559
Author(s):  
Wen Sheng Dong ◽  
Hui Wang
Keyword(s):  
Decision Making ◽  
Water Resources ◽  
Decision Model ◽  
Optimal Allocation ◽  
Evolutionary Game ◽  
Particle Swarm Algorithm ◽  
Multi Objective ◽  
Multi Stage ◽  
Risk Decision

Optimal allocation problem of water resources has some features that principal and subordinate hierarchical, multi-objective, multi-stage, risk decision-making, etc. Aimed to these characteristics, this paper constructs multiple objective risk decision model under principal and subordinate hierarchical risk decision-making, and by integrating a variety of optimization algorithms for solving idea ( such as fuzzy stochastic simulating technique, multi-objective satisfactory degree computation, principal and subordinate hierarchical game, and evolutionary game solving technology based on particle swarm algorithm), established an algorithm system of possessing logical relations. The result is convincible after a case study.

scholarly journals An Optimal Allocation Model for Large Complex Water Resources System Considering Water supply and Ecological Needs

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 843 ◽  
Author(s):  
Yaogeng Tan ◽  
Zengchuan Dong ◽  
Chuansheng Xiong ◽  
Zhiyu Zhong ◽  
Lina Hou
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Water Deficit ◽  
Optimal Allocation ◽  
Optimal Solution ◽  
System Model ◽  
Allocation Model ◽  
Resources Management ◽  
Natural Flow ◽  
Reservoir Release

Water resources are very important to support the socio-economic development and maintain environmental health, which is a typical issue in water resources management. In this study, we developed an optimal allocation model for a large complex system of water resources by considering both water supply and river ecological benefits. The water supply benefit is defined as the minimum water deficit for different water users, while the ecological benefit involves making the reservoir release as close as possible to the natural streamflow. To solve this problem, the combination of decomposition-coordination (DC) and discrete differential dynamic programming (DDDP) methods were proposed. The proposed methods first decomposed a large system with multi-objective programming into subsystems, and the optimal solution of each subsystem was accomplished by the DDDP method to solve the system efficiently. Then the subsystems’ solutions were coordinated to figure out the near global optimal solution. The proposed models were tested in the Lingui and Yongfu County, Guilin City in China. Results show that the optimal reservoir release is close to the natural flow regime and there is a slight water deficit ratio in both level years. The water supply objective is more sensitive to the system model compared with the ecological objective, and the result of water allocation is optimized when the reservoir release is as close as possible to the natural flow based on the minimum water deficit. The proposed system model could facilitate sustainable water use and provide technical support for water resources management in economic development.

Water Resources Optimal Allocation Based on Multi-Objective Differential Evolution Algorithm

2013 ◽  
Vol 278-280 ◽  
pp. 1271-1274 ◽  
Author(s):  
Ke Peng Feng ◽  
Jun Cang Tian
Keyword(s):  
Water Resources ◽  
Differential Evolution ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Population Based ◽  
Allocation Model ◽  
Multi Objective ◽  
Regional Water ◽  
Water Resources Optimal Allocation

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.

scholarly journals Optimal Allocation of Water Resources from the “Wide-Mild Water Shortage” Perspective

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1289 ◽  
Author(s):  
Huaxiang He ◽  
Mingwan Yin ◽  
Aiqi Chen ◽  
Junqiu Liu ◽  
Xinmin Xie ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Optimal Allocation ◽  
Marginal Utility ◽  
Piecewise Linear ◽  
Water Shortage ◽  
Improved Method ◽  
Water Users ◽  
The Right

A major objective of the optimization of water resources allocation is to ensure the supply an adequate amount of water to users at the right time and maximize the utilization of water resources. However, in case of insufficient water supply, water shortage is likely to occur intensively for specific water users or in specific periods, referred to as a “concentrated water shortage”. The risk of a concentrated water shortage should be shared across a wider range of users and periods, so that it would have a less severe impact on each calculation unit in each period, which we refer to as the “wide-mild water shortage”. In this study, the nonlinear weight of the water supply objective function can be converted into a piecewise linear weight based on the law of diminishing marginal utility, making it possible to reduce or even eliminate the concentrated water shortage and thus making the allocation of water resources more reasonable. The case study in the Nen River basin in northeast China shows that the improved method results in a significant increase in water shortage units but a significant reduction in water shortage range. As a consequence, water shortage is more uniformly distributed from April to June, which contributes to solving the concentrated water shortage problem in May. However, it should be noted that to what extent the wide-mild water shortage can be realized depends not only on the marginal utility of water demand, but also on the available water supply and the regulative capacity of water supply projects. In spite of this, the improved method enables water to be supplied more suitably for users at the appropriate time, which contributes to improving the utilization of water resources and helping decision-makers better address the problem of concentrated water shortage.

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