摘要
当前,我国水生态系统面临严峻挑战,水环境治理任务紧迫。通过实施多目标优化调度策略,对水环境治理项目群进行高效管理,对于推动水环境治理进程具有重要意义。综合考虑资源约束和多个子项目间的紧前关系约束,构建茅洲河水环境治理项目群工期-鲁棒性多目标优化模型,结合多种群NSGA-Ⅲ算法,进行双层编码并求解。在指定参数计算下获得项目群工期-鲁棒性优化调度前沿解集,发现项目鲁棒性较高时,工期也相对较长,整体上来看,Pareto解集在目标空间呈非线性递增分布,验证了模型的合理性和NSGA-Ⅲ算法解决水环境治理项目群调度问题的有效性。该研究为其他城市开展流域水环境治理提供参考,有助于提高同类水环境治理项目群的综合管理能力和决策水平。
At present,China′s aquatic ecosystem is facing severe challenges,and the task of water environment management is urgent.Implementing multi-objective optimization scheduling strategies for efficient management of water environment management project groups is of significant importance for advancing the process of water environment management.By comprehensively considering resource constraints and the precedence relationships among multiple sub-projects,a multiobjective optimization model for the construction period-robustness of the Maozhou River Water Environment Management Project Group was constructed.Combined with the multi-population NSGA-Ⅲalgorithm,a double-layer encoding approach was used for solving the problem.With specified parameter calculations,an optimized scheduling frontier solution set for the project group′s construction period robustness was obtained.It was found that when the project′s robustness was high,the construction period was relatively longer.Overall,the Pareto solution set showed a non-linear increasing distribution in the objective space,validating the rationality of the model and the effectiveness of the NSGA-Ⅲalgorithm in solving scheduling problems for water environment management project groups.This study provides a reference for other cities to carry out watershed water environment management and helps to improve the comprehensive management capabilities and decisionmaking levels of such water environment management project groups.
作者
薛松
方洁
陈旭
XUE Song;FANG Jie;CHEN Xu(Business School,Hohai University,Nanjing 211100,China;Institute of Project Management,Hohai University,Nanjing 211100,China)
出处
《环境工程》
2025年第12期63-72,共10页
Environmental Engineering
基金
国家社会科学基金青年项目(15CJL023)
中央高校基本科研业务费专项资金资助项目(2019B19614)。
关键词
水环境治理
项目群调度
多目标优化
鲁棒性
NSGA-Ⅲ算法
water environment governance
project group scheduling
multi-objective optimization
robustness
NSGA-Ⅲalgorithm
