Environmental Quality Optimization of Sustainable Rural Revitalization Strategy Based on Improved Genetic Algorithm

Year: 2022

Type: article

Abstract: To address the environmental quality of sustainable rural revitalization strategies, an improved genetic algorithm-based approach is proposed, environmental quality of rural revitalization strategies. Firstly, an index system to comprehensively assess the settlement environment of rural people based on the “production-production-production” space is built and then forms the trinity theoretical guidance framework; secondly, value of information entropy used to evaluate the dispersion of an index calculates the weight of each indicator and provides the basis for a comprehensive multi-index assessment; thirdly, by analyzing the spatial differences of rural human settlement environment quality, the quality of human settlement in rural areas has a positive correlation with the level of regional economic development. It shows that based on improved genetic algorithm, the environmental quality of sustainable rural revitalization strategy has been greatly improved, the growth rate of the comprehensive score of rural living environment in most regions reached more than 14%, and the comprehensive score growth rate of some rural living environment was 4.52%.

Source: Mobile Information Systems

DOI: 10.1155/2022/3775515

Authors: Guangqing Zhang, Zixuan Zeng

Institutions: Shandong University, Guangxi University of Finance and Economics

Language: English

Topic: Regional Development and Environment

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,550

Funder: Guangxi University