This article is in terms of product environmental performance demand and proposes four structure evolutionary operation modes which include combined evolutionary method, decomposition evolutionary method, replacement evolutionary method, and material-changing evolutionary method to express the structure evolutionary process of products. Through the quotient space theory and proposed method combined with probability statistics, probability mapping from environmental performance to product structure is established and the evolutionary individuals with outstanding environmental performance are listed. Through the analysis to the specific conditions of the evolutionary individuals, the design constraints are extracted, and the objective function of environmental performance is established. This article presents an interactive genetic algorithm as evolutionary algorithm and combines it with four structure evolutionary operation modes to conduct corresponding gene manipulation and generates evolutionary product. Finally, the proposed methodology is successfully applied to engine gear chamber and the environmental impact is found to be better than before evolution.
The double carbon target is a solemn commitment made by the Chinese government to the world, and emission reduction and sink increase in the agricultural production process is an important way to achieve the double carbon target. However, the current status of green production in Chinese medicine is not optimistic, which is not conducive to agricultural emission reduction on the one hand, and will inevitably restrict the long-term well-being of the traditional Chinese medicine industry in driving economic growth on the other. Based on a microdata survey of Eucommia farmers in Lueyang County, Shaanxi Province, this study empirically analyzed the effect of effective use of GI on farmers' adoption of carbon emission reduction technologies using the Propensity Score Matching method and explored the degree of adoption of each carbon emission reduction technology by farmers using the entropy weighting TOPSIS. The results show that the effective use of GI has a positive impact on farmers in terms of fertilizer and medicine savings, and no impact in terms of water and energy saving. And the ease of implementation of the emission reduction measures had a positive effect on the adoption by farmers.
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