Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm

Due to the complexity and importance of optimizing and adjusting the crop planting structure in the Jianghuai hilly Tangba irrigation area between the upper reaches of the Huaihe River from Xinyang to the lower reaches of the Huaihe River in China, and based on experimental results from the Feidong...

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Main Author: Lingxiao Liu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2022/3748080
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author Lingxiao Liu
author_facet Lingxiao Liu
author_sort Lingxiao Liu
collection DOAJ
description Due to the complexity and importance of optimizing and adjusting the crop planting structure in the Jianghuai hilly Tangba irrigation area between the upper reaches of the Huaihe River from Xinyang to the lower reaches of the Huaihe River in China, and based on experimental results from the Feidong Badou Irrigation Experiment Station, the farmland was modeled using rainfall and runoff data from the Tangba irrigation area. By examining the water balance of submerged irrigation, an optimization model of the agricultural industry structure was developed using genetic algorithms, and the model was solved using an accelerated genetic algorithm. Developing the research findings may provide scientific and technological support for adjusting the planting structure and formulation of irrigation systems in the Jianghuai Hills and Tangba irrigation area between the upper reaches of the Huaihe River and Xinyang, as well as significant practical guiding significance and application value.
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institution Kabale University
issn 1687-9317
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publishDate 2022-01-01
publisher Wiley
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series Advances in Meteorology
spelling doaj-art-b8a56d804ce247aeb01f576beb0e08e22025-02-03T05:50:05ZengWileyAdvances in Meteorology1687-93172022-01-01202210.1155/2022/3748080Research on the Optimization of Agricultural Industry Structure Based on Genetic AlgorithmLingxiao Liu0School of BusinessDue to the complexity and importance of optimizing and adjusting the crop planting structure in the Jianghuai hilly Tangba irrigation area between the upper reaches of the Huaihe River from Xinyang to the lower reaches of the Huaihe River in China, and based on experimental results from the Feidong Badou Irrigation Experiment Station, the farmland was modeled using rainfall and runoff data from the Tangba irrigation area. By examining the water balance of submerged irrigation, an optimization model of the agricultural industry structure was developed using genetic algorithms, and the model was solved using an accelerated genetic algorithm. Developing the research findings may provide scientific and technological support for adjusting the planting structure and formulation of irrigation systems in the Jianghuai Hills and Tangba irrigation area between the upper reaches of the Huaihe River and Xinyang, as well as significant practical guiding significance and application value.http://dx.doi.org/10.1155/2022/3748080
spellingShingle Lingxiao Liu
Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm
Advances in Meteorology
title Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm
title_full Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm
title_fullStr Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm
title_full_unstemmed Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm
title_short Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm
title_sort research on the optimization of agricultural industry structure based on genetic algorithm
url http://dx.doi.org/10.1155/2022/3748080
work_keys_str_mv AT lingxiaoliu researchontheoptimizationofagriculturalindustrystructurebasedongeneticalgorithm