Application of hybrid algorithms in an optimal allocation model of water and land resources

Ensuring an optimal irrigation system and planting layout for crops in areas with water resource deficiencies is a complex process. A model of the optimal allocation of water and land resources for the irrigation system of the ‘reservoir and pumping station’ under crop rotation was established in th...

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Main Authors: Cong Wei, Jilin Cheng, Yushan Jiang
Format: Article
Language:English
Published: IWA Publishing 2023-09-01
Series:Journal of Hydroinformatics
Subjects:
Online Access:http://jhydro.iwaponline.com/content/25/5/1547
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author Cong Wei
Jilin Cheng
Yushan Jiang
author_facet Cong Wei
Jilin Cheng
Yushan Jiang
author_sort Cong Wei
collection DOAJ
description Ensuring an optimal irrigation system and planting layout for crops in areas with water resource deficiencies is a complex process. A model of the optimal allocation of water and land resources for the irrigation system of the ‘reservoir and pumping station’ under crop rotation was established in this study. For the above complex nonlinear model, two-hybrid algorithms are proposed: (1) the decomposition aggregation dynamic programming (DADP) method and linear programming (LP) successive approximation algorithm [(DADP–LP)SA] and (2) the DADP algorithm based on the orthogonal design (OD) method (OD–DADP). The (DADP–LP)SA and OD–DADP algorithms were compared with the real-coded genetic algorithm (RGA) and particle swarm optimization (PSO) to analyze the performance of the four algorithms. The developed algorithms were applied to the Gao'a irrigation area in the north of Jiangsu Province, China. The solution results showed that the annual output value of water-deficient irrigation areas was improved, and limited water and land resources were optimally allocated, demonstrating the feasibility of the two-hybrid algorithm. Moreover, through a comparative analysis of the optimality and applicability of the four algorithms, it can be observed that (DADP–LP)SA and OD–DADP are more suitable for optimizing the allocation of scarce water and land resources than RGA and PSO. HIGHLIGHTS The optimal allocation model of water and land resources for the joint operation of reservoirs and pumping stations is established on the basis of regional water rights restriction.; A hybrid successive approximation algorithm for large-scale systems is proposed.; A new hybrid algorithm is proposed by combining the solution method of high-dimensional dynamic programming with the orthogonal design method.;
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spelling doaj.art-26c6a33b5d56491ea9528dd49377558b2023-10-11T15:09:02ZengIWA PublishingJournal of Hydroinformatics1464-71411465-17342023-09-012551547156410.2166/hydro.2023.060060Application of hybrid algorithms in an optimal allocation model of water and land resourcesCong Wei0Jilin Cheng1Yushan Jiang2 College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China Ensuring an optimal irrigation system and planting layout for crops in areas with water resource deficiencies is a complex process. A model of the optimal allocation of water and land resources for the irrigation system of the ‘reservoir and pumping station’ under crop rotation was established in this study. For the above complex nonlinear model, two-hybrid algorithms are proposed: (1) the decomposition aggregation dynamic programming (DADP) method and linear programming (LP) successive approximation algorithm [(DADP–LP)SA] and (2) the DADP algorithm based on the orthogonal design (OD) method (OD–DADP). The (DADP–LP)SA and OD–DADP algorithms were compared with the real-coded genetic algorithm (RGA) and particle swarm optimization (PSO) to analyze the performance of the four algorithms. The developed algorithms were applied to the Gao'a irrigation area in the north of Jiangsu Province, China. The solution results showed that the annual output value of water-deficient irrigation areas was improved, and limited water and land resources were optimally allocated, demonstrating the feasibility of the two-hybrid algorithm. Moreover, through a comparative analysis of the optimality and applicability of the four algorithms, it can be observed that (DADP–LP)SA and OD–DADP are more suitable for optimizing the allocation of scarce water and land resources than RGA and PSO. HIGHLIGHTS The optimal allocation model of water and land resources for the joint operation of reservoirs and pumping stations is established on the basis of regional water rights restriction.; A hybrid successive approximation algorithm for large-scale systems is proposed.; A new hybrid algorithm is proposed by combining the solution method of high-dimensional dynamic programming with the orthogonal design method.;http://jhydro.iwaponline.com/content/25/5/1547decomposition aggregationdynamic programminglinear programmingorthogonal designpump stationreservoir
spellingShingle Cong Wei
Jilin Cheng
Yushan Jiang
Application of hybrid algorithms in an optimal allocation model of water and land resources
Journal of Hydroinformatics
decomposition aggregation
dynamic programming
linear programming
orthogonal design
pump station
reservoir
title Application of hybrid algorithms in an optimal allocation model of water and land resources
title_full Application of hybrid algorithms in an optimal allocation model of water and land resources
title_fullStr Application of hybrid algorithms in an optimal allocation model of water and land resources
title_full_unstemmed Application of hybrid algorithms in an optimal allocation model of water and land resources
title_short Application of hybrid algorithms in an optimal allocation model of water and land resources
title_sort application of hybrid algorithms in an optimal allocation model of water and land resources
topic decomposition aggregation
dynamic programming
linear programming
orthogonal design
pump station
reservoir
url http://jhydro.iwaponline.com/content/25/5/1547
work_keys_str_mv AT congwei applicationofhybridalgorithmsinanoptimalallocationmodelofwaterandlandresources
AT jilincheng applicationofhybridalgorithmsinanoptimalallocationmodelofwaterandlandresources
AT yushanjiang applicationofhybridalgorithmsinanoptimalallocationmodelofwaterandlandresources