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基于多目标优化算法的可持续农业结构优化方法研究。

Study on Sustainable Agricultural Structure Optimization Method Based on Multiobjective Optimization Algorithm.

机构信息

Department of Economics, Belarusian State University, Minsk 220030, Belarus.

出版信息

Comput Intell Neurosci. 2022 Jun 13;2022:5850684. doi: 10.1155/2022/5850684. eCollection 2022.

DOI:10.1155/2022/5850684
PMID:35733569
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9208938/
Abstract

Agricultural sustainable development is one of the themes of human and nature harmonious coexistence. Adjusting and optimizing agricultural structure are an important direction to improve the level of agricultural sustainable development. In this paper, related research status of the sustainable development of agriculture is analyzed; it shows that there is lack of scientific theories guidance for agricultural sustainable development. In order to optimize sustainable development of agriculture industry structure, the guidance theory of and its optimization are studied. Based on multiobjective optimization theory, several key factors that affect agricultural sustainable development and the main target indexes of agricultural sustainable development are analyzed, the mathematical model of the evaluation of the sustainable development of agriculture is established, and the solution to optimize the multiobjective model is studied. Finally, the agricultural industry sustainable development in a certain area is taken as the research object in this paper; the mathematical model and solving method of agricultural sustainable development evaluation are studied; it provides a guidance to optimize the regional agricultural industrial structure and improve the quality of agricultural sustainable development.

摘要

农业可持续发展是人类与自然和谐共存的主题之一。调整和优化农业结构是提高农业可持续发展水平的重要方向。本文分析了农业可持续发展的相关研究现状，表明农业可持续发展缺乏科学理论指导。为了优化农业产业结构的可持续发展，对其指导理论及其优化进行了研究。基于多目标优化理论，分析了影响农业可持续发展的几个关键因素和农业可持续发展的主要目标指标，建立了农业可持续发展评价的数学模型，并对多目标模型的优化求解进行了研究。最后，本文以某地区农业产业可持续发展为研究对象，研究了农业可持续发展评价的数学模型和求解方法，为优化区域农业产业结构、提高农业可持续发展质量提供了指导。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9686/9208938/351f1426b71b/CIN2022-5850684.002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9686/9208938/0ced00fbdd1b/CIN2022-5850684.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9686/9208938/55675a4c9b5a/CIN2022-5850684.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9686/9208938/3ce5f7c7b033/CIN2022-5850684.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9686/9208938/883934fd8f83/CIN2022-5850684.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9686/9208938/81b101df2d26/CIN2022-5850684.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9686/9208938/86158f700ca1/CIN2022-5850684.010.jpg

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