Study of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm

In order to distribute water resources reasonably, it is advantageous to make full use of resources and produce high economic and social benefits. Taking the Dujiangyan irrigation area of China as an example, we discuss the idea of establishing and solving the optimal allocation model of water resou...

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Autores principales:	Ruihuan Li, Yingli Chang, Zhaocai Wang
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	genetic algorithm many species multiple constraints water resources optimization Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/700fefc27b2541e0a7f8475d2539fdcf
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id	oai:doaj.org-article:700fefc27b2541e0a7f8475d2539fdcf
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spelling	oai:doaj.org-article:700fefc27b2541e0a7f8475d2539fdcf2021-11-06T10:08:29ZStudy of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm1606-97491607-079810.2166/ws.2020.302https://doaj.org/article/700fefc27b2541e0a7f8475d2539fdcf2021-09-01T00:00:00Zhttp://ws.iwaponline.com/content/21/6/2989https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798In order to distribute water resources reasonably, it is advantageous to make full use of resources and produce high economic and social benefits. Taking the Dujiangyan irrigation area of China as an example, we discuss the idea of establishing and solving the optimal allocation model of water resources. With this aim, a two-dimensional constraint model with highest economic value, minimum water shortage, minimum underground water consumption and necessary living water demand was established. In order to solve this model, we improved a multi-population genetic algorithm, extending the genetic optimization of the algorithm into two dimensions, taking population as the vertical dimension and the individual as the horizontal dimension, and transforming the cross genetic operator to copy the genetic (crossover) operator and the mutation operator to only act on the vertical dimension, so as to optimize the allocation of such discrete objectives of water resources in the irrigation area with a particular model suitable for the region. The distribution results successfully control the water shortage rate of each area at a low level, which saves the exploitation of groundwater to the maximum extent and produces high economic benefits. The improved algorithm proposed in this paper has a kind of strong optimization ability and provides a new solution for the optimization problem with multiple constraints. HIGHLIGHTS A water resources optimization model is established.; An improved multi population genetic algorithm is proposed.; The algorithm has good practical application value.;Ruihuan LiYingli ChangZhaocai WangIWA Publishingarticlegenetic algorithmmany speciesmultiple constraintswater resources optimizationWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 6, Pp 2989-2999 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	genetic algorithm many species multiple constraints water resources optimization Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	genetic algorithm many species multiple constraints water resources optimization Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Ruihuan Li Yingli Chang Zhaocai Wang Study of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm
description	In order to distribute water resources reasonably, it is advantageous to make full use of resources and produce high economic and social benefits. Taking the Dujiangyan irrigation area of China as an example, we discuss the idea of establishing and solving the optimal allocation model of water resources. With this aim, a two-dimensional constraint model with highest economic value, minimum water shortage, minimum underground water consumption and necessary living water demand was established. In order to solve this model, we improved a multi-population genetic algorithm, extending the genetic optimization of the algorithm into two dimensions, taking population as the vertical dimension and the individual as the horizontal dimension, and transforming the cross genetic operator to copy the genetic (crossover) operator and the mutation operator to only act on the vertical dimension, so as to optimize the allocation of such discrete objectives of water resources in the irrigation area with a particular model suitable for the region. The distribution results successfully control the water shortage rate of each area at a low level, which saves the exploitation of groundwater to the maximum extent and produces high economic benefits. The improved algorithm proposed in this paper has a kind of strong optimization ability and provides a new solution for the optimization problem with multiple constraints. HIGHLIGHTS A water resources optimization model is established.; An improved multi population genetic algorithm is proposed.; The algorithm has good practical application value.;
format	article
author	Ruihuan Li Yingli Chang Zhaocai Wang
author_facet	Ruihuan Li Yingli Chang Zhaocai Wang
author_sort	Ruihuan Li
title	Study of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm
title_short	Study of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm
title_full	Study of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm
title_fullStr	Study of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm
title_full_unstemmed	Study of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm
title_sort	study of optimal allocation of water resources in dujiangyan irrigation district of china based on an improved genetic algorithm
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/700fefc27b2541e0a7f8475d2539fdcf
work_keys_str_mv	AT ruihuanli studyofoptimalallocationofwaterresourcesindujiangyanirrigationdistrictofchinabasedonanimprovedgeneticalgorithm AT yinglichang studyofoptimalallocationofwaterresourcesindujiangyanirrigationdistrictofchinabasedonanimprovedgeneticalgorithm AT zhaocaiwang studyofoptimalallocationofwaterresourcesindujiangyanirrigationdistrictofchinabasedonanimprovedgeneticalgorithm
_version_	1718443800760680448

Study of optimal allocation of water resources in Dujiangyan irrigation district of China based on an improved genetic algorithm

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