计算机科学
数学优化
多目标优化
复杂网络
帕累托原理
网络规划与设计
帕累托最优
进化算法
优化设计
图形
领域(数学分析)
分布式计算
数学
理论计算机科学
机器学习
计算机网络
数学分析
万维网
作者
Robert Sitzenfrei,Qi Wang,Zoran Kapelan,Dragan Savić
摘要
Abstract The optimization of water networks supports the decision‐making process by identifying the optimal trade‐off between costs and performance (e.g., resilience and leakage). A major challenge in the domain of water distribution systems (WDSs) is the network (re)design. While the complex nature of WDS has already been explored with complex network analysis (CNA), literature is still lacking a CNA of optimal water networks. Based on a systematic CNA of Pareto‐optimal solutions of different WDSs, several graph characteristics are identified, and a newly developed CNA design approach for WDSs is proposed. The results show that obtained designs are comparable with results found by evolutionary optimization, but the CNA approach is applicable for large networks (e.g., 150,000 pipes) with a substantially reduced computational effort (runtime reduction up to 5 orders of magnitude).
科研通智能强力驱动
Strongly Powered by AbleSci AI