China’s rapid urbanization presents significant challenges for rural construction and resource management,often prioritizing economic gains over climate adaptability and energy efficiency.This study focuses on tradit...China’s rapid urbanization presents significant challenges for rural construction and resource management,often prioritizing economic gains over climate adaptability and energy efficiency.This study focuses on traditional Huizhou houses,integrating energy consumption and comfort analysis into the early design stages.Initial simulations using the Universal Thermal Climate Index(UTCI)established a baseline model for comparison.Through the Wallacei_X plugin,optimized designs achieved a 19.88%reduction in energy use intensity(EUI)and a 9.37%improvement in summer outdoor comfort(UTCI_H)compared to the baseline.Further analysis along the Pareto frontier using Scikit-learn demonstrated high predictive accuracy with XGBoost(F1 scores:0.80 for 4-side houses,0.78 for 3-side houses).To enhance interpretability,SHapley Additive exPlanations(SHAP)analysis explored nonlinear relationships between design variables and building performance,while coupling analysis examined the spatial relationships between houses and their environmental impact.In the final validation,the proposed workflow effectively linked building performance prediction with design optimization,achieving a 26%performance improvement over the original site plan.This integrated approach enables rapid performance evaluations,reduces costs,and provides practical design references.It highlights the potential of combining genetic algorithms and machine learning to drive sustainable rural development.展开更多
提出了一种基于混沌遗传算法的计算圆度误差的新方法.它利用混沌优化方法的遍历性和随机性,通过混沌扰动操作可克服传统遗传算法中的早熟问题,确保算法的全局收敛性.该方法满足最小条件原理,其计算结果的精确度非常高,理论上可以获得全...提出了一种基于混沌遗传算法的计算圆度误差的新方法.它利用混沌优化方法的遍历性和随机性,通过混沌扰动操作可克服传统遗传算法中的早熟问题,确保算法的全局收敛性.该方法满足最小条件原理,其计算结果的精确度非常高,理论上可以获得全局最优解.实例计算表明,这种算法简单明确,具有精度高、收敛速度快、易于计算机程序实现和推广应用等特点.
Abstract：
A new method for calculating the roundness error based on chaos genetic algorithms is proposed. The system utilizes the ergodicity and randomness of chaos optimal method and by means of chaos stir operation, which can overcame the problem of premature convergence in traditional genetic algorithms and ensured an convergence of the algorithms. The method satisfies the principle of the least condition, the precision of calculating result is very high and can find .the global optimal solution. An actual calculated example showed that this method is simple and clear and it has features of high precision and fast convergent speed as well as using computer easily and popularizing application easily.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52378011).
文摘China’s rapid urbanization presents significant challenges for rural construction and resource management,often prioritizing economic gains over climate adaptability and energy efficiency.This study focuses on traditional Huizhou houses,integrating energy consumption and comfort analysis into the early design stages.Initial simulations using the Universal Thermal Climate Index(UTCI)established a baseline model for comparison.Through the Wallacei_X plugin,optimized designs achieved a 19.88%reduction in energy use intensity(EUI)and a 9.37%improvement in summer outdoor comfort(UTCI_H)compared to the baseline.Further analysis along the Pareto frontier using Scikit-learn demonstrated high predictive accuracy with XGBoost(F1 scores:0.80 for 4-side houses,0.78 for 3-side houses).To enhance interpretability,SHapley Additive exPlanations(SHAP)analysis explored nonlinear relationships between design variables and building performance,while coupling analysis examined the spatial relationships between houses and their environmental impact.In the final validation,the proposed workflow effectively linked building performance prediction with design optimization,achieving a 26%performance improvement over the original site plan.This integrated approach enables rapid performance evaluations,reduces costs,and provides practical design references.It highlights the potential of combining genetic algorithms and machine learning to drive sustainable rural development.
文摘提出了一种基于混沌遗传算法的计算圆度误差的新方法.它利用混沌优化方法的遍历性和随机性,通过混沌扰动操作可克服传统遗传算法中的早熟问题,确保算法的全局收敛性.该方法满足最小条件原理,其计算结果的精确度非常高,理论上可以获得全局最优解.实例计算表明,这种算法简单明确,具有精度高、收敛速度快、易于计算机程序实现和推广应用等特点.
Abstract：
A new method for calculating the roundness error based on chaos genetic algorithms is proposed. The system utilizes the ergodicity and randomness of chaos optimal method and by means of chaos stir operation, which can overcame the problem of premature convergence in traditional genetic algorithms and ensured an convergence of the algorithms. The method satisfies the principle of the least condition, the precision of calculating result is very high and can find .the global optimal solution. An actual calculated example showed that this method is simple and clear and it has features of high precision and fast convergent speed as well as using computer easily and popularizing application easily.
