Multisource and multiuser water resources allocation based on genetic algorithm

Qi, Shaoqun; Wan, Luhe; Fu, Baoling

doi:10.1007/s11227-018-2563-7

Cited by 15 publications

(8 citation statements)

References 10 publications

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“…In the second stage, the solution of the first stage is used as the initial population, and the genetic algorithm model is used to solve the optimal problem [14] . Some scholars use genetic algorithms to predict ecological water demand and establish an optimal allocation model for multi-source, multi-user water resources [15] . Scholars combine self-organizing mapping with genetic algorithms to make up for the shortcomings of genetic algorithms that are prone to local optima [16] .…”

Section: Introductionmentioning

confidence: 99%

Mine water cooperative optimal scheduling based on improved genetic algorithm

Liu,

Zhang,

Zhu

et al. 2024

Heliyon

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Section: Introductionmentioning

confidence: 99%

Mine water cooperative optimal scheduling based on improved genetic algorithm

Liu,

Zhang,

Zhu

et al. 2024

Heliyon

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“…The sub-systems are interconnected through the water cycle and influence each other [19]. Therefore, the results of the regional water resource allocation scheme should meet the demands of each sub-system and be practical [33]. It is clear that both the ideal optimal allocation and anthropocentric rational allocation are inappropriate.…”

Section: Introductionmentioning

confidence: 99%

A Regional Water Resource Allocation Model Based on the Human–Water Harmony Theory in the Yellow River Basin

Zhang

De-shan

Wang

et al. 2023

Water

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Considering the issues of water scarcity, water environment deterioration, and unreasonable allocation of water resources in the urban area of the Yellow River Basin, this paper introduces the human–water harmony theory to the allocation of regional water resources. Based on an analysis of the structural characteristics of the regional water resource system, the harmonious water resource allocation (HWRA) model—which includes three sub-systems (i.e., the water service system, ecological environmental system, and economic and social system)—is established. In addition, considering the uncertain factors in the HWRA model, the inexact fuzzy multi-objective programming (IFMOP) method is used to solve the model, aiming at achieving the minimum amount of regional water scarcity, the minimum amount of sewage discharge, and the maximum total economic benefit. A case study of water resource allocation of Binzhou, a city located in the Yellow River Basin, is conducted to validate the model. The model solution results show that the water resource system in Binzhou in 2025 and 2035 could be optimized after harmonious allocation, especially in terms of the water service and ecological environmental systems. Compared with the optimal water resource allocation (OWRA) model, the HWRA model has a more scientific water supply structure, and a smaller amount of sewage discharge. The HWRA model solves the variables using an interval number, so it can flexibly and scientifically reflect the decision-making process.

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“…(Ren et al 2019); con guration models include linear programming, nonlinear programming, dynamic programming, multi-objective programming, based on systems engineering theory, based on system dynamics, etc. (Xie et al 2018;Qi et al 2020); The solution methods of the model include simplex method, fuzzy algorithm, genetic algorithm, etc. (Liu et al 2018;Zhang et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Study of Optimal and Joint Allocations of Water and land Resources for Multiple Objectives

Wang

Qin

et al. 2023

Water Resour Manage

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The mismatch of water and land resources leads to various water problem and degradation of ecological function in the basin. The existing water resources allocation and land resource allocation have different objects, basic units, allocation goals and methods, and it is di cult to achieve joint allocation on a uni ed platform. This paper takes the water and land resources system as the research object. The optimal allocation model of water and land resources was constructed, with the multiple objectives, from aspects of water quantity, water quality, water e ciency, ecological function and the matching degree of water and land resources. The constructed model is used to allocate water and land resources in Sihe River basin, and the results of water and land resources allocation of each con guration unit under different water supply conditions are obtained. This provides technical support for the synthetically delicacy management of water and land resources based on the land unit in the river basin.

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Multisource and multiuser water resources allocation based on genetic algorithm

Cited by 15 publications

References 10 publications

Mine water cooperative optimal scheduling based on improved genetic algorithm

Mine water cooperative optimal scheduling based on improved genetic algorithm

A Regional Water Resource Allocation Model Based on the Human–Water Harmony Theory in the Yellow River Basin

Study of Optimal and Joint Allocations of Water and land Resources for Multiple Objectives

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