Research on contaminant sources identification of uncertainty water demand using genetic algorithm
Y Xuesong, S Jie, H Chengyu - Cluster Computing, 2017 - Springer
Urban water supply network is easily affected by intentional or occasional chemical and
biological pollution, which threatens the health of consumers. In recent years, drinking water …
biological pollution, which threatens the health of consumers. In recent years, drinking water …
Research on contaminant sources identification of uncertainty water demand using genetic algorithm
Y Xuesong, S Jie, H Chengyu - Cluster Computing, 2017 - search.proquest.com
Urban water supply network is easily affected by intentional or occasional chemical and
biological pollution, which threatens the health of consumers. In recent years, drinking water …
biological pollution, which threatens the health of consumers. In recent years, drinking water …
Research on contaminant sources identification of uncertainty water demand using genetic algorithm
Y Xuesong, S Jie, H Chengyu - 2017 - ir.cug.edu.cn
摘要Urban water supply network is easily affected by intentional or occasional chemical and
biological pollution, which threatens the health of consumers. In recent years, drinking water …
biological pollution, which threatens the health of consumers. In recent years, drinking water …
Research on contaminant sources identification of uncertainty water demand using genetic algorithm
Y Xuesong, S Jie, H Chengyu - Cluster Computing, 2017 - dl.acm.org
Urban water supply network is easily affected by intentional or occasional chemical and
biological pollution, which threatens the health of consumers. In recent years, drinking water …
biological pollution, which threatens the health of consumers. In recent years, drinking water …