School of Management, Xi'an University of Architecture & Technology, Xi'an, China.
Sci Prog. 2023 Jan-Mar;106(1):368504231150427. doi: 10.1177/00368504231150427.
The resource utilization of building waste in urban sustainable environment governance is significant, in view of the status of construction waste recycling; this article built a reverse logistics planning model in urban building waste from the perspective of a closed supply chain by means of a hybrid nonlinear programming model. Combining the simulated annealing algorithm with memory function and the genetic algorithm with global convergence performance, a new genetic simulated annealing algorithm is presented to optimize the model. The empirical study was then made for the system to verify the feasibility of the model. The proposed new planning method and its detailed steps can provide a meaningful reference value for resource utilization of building waste in urban sustainable environment governance.
考虑到建筑废物回收的现状，在城市可持续环境治理中，充分利用建筑废物资源具有重要意义。本文从封闭供应链的角度，通过混合非线性规划模型，构建了一个城市建筑废物逆向物流规划模型。本文结合具有记忆功能的模拟退火算法和具有全局收敛性能的遗传算法，提出了一种新的遗传模拟退火算法对模型进行优化。然后，对系统进行了实证研究，以验证模型的可行性。所提出的新规划方法及其详细步骤可为城市可持续环境治理中建筑废物的资源化利用提供有意义的参考价值。
