Multi-objective optimization of duration-robustness in water environment governance project groups

XUE Song; FANG Jie; CHEN Xu

doi:10.13205/j.hjgc.202512008

Volume 43 Issue 12

Dec. 2025

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XUE Song, FANG Jie, CHEN Xu. Multi-objective optimization of duration-robustness in water environment governance project groups[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(12): 63-72. doi: 10.13205/j.hjgc.202512008

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XUE Song, FANG Jie, CHEN Xu. Multi-objective optimization of duration-robustness in water environment governance project groups[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(12): 63-72. doi: 10.13205/j.hjgc.202512008

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Multi-objective optimization of duration-robustness in water environment governance project groups

doi: 10.13205/j.hjgc.202512008

XUE Song^1,2,
FANG Jie^{2
,
,},
CHEN Xu²

1. Business School, Hohai University, Nanjing 211100, China;
2. Institute of Project Management, Hohai University, Nanjing 211100, China

Received Date: 2024-02-23
Accepted Date: 2024-03-30
Rev Recd Date: 2024-03-12

Available Online: 2026-01-09

Abstract

Abstract

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 multi-objective optimization model for the construction period-robustness of the Maozhou River Water Environment Management Project Group was constructed. Combined with the multi-population NSGA-Ⅲ algorithm， 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-Ⅲ algorithm 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 decision-making levels of such water environment management project groups.
- water environment governance,
- project group scheduling,
- multi-objective optimization,
- robustness,
- NSGA-Ⅲ algorithm

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References(23)

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