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

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