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机译:配水网络中需求模式和泄漏估计的遗传算法
Department of Civil Engineering, Design, Building and Environment Second university of Naples, via Roma, 29, 81031 Aversa (CE), Italy;
Department of Civil Engineering, Design, Building and Environment Second university of Naples, via Roma, 29, 81031 Aversa (CE), Italy;
Department of Civil Engineering, Design, Building and Environment Second university of Naples, via Roma, 29, 81031 Aversa (CE), Italy;
Department of Civil Engineering, Design, Building and Environment Second university of Naples, via Roma, 29, 81031 Aversa (CE), Italy;
demand models; genetic algorithms; leakages; optimization; water distribution networks;
机译:将线性规划嵌入多目标遗传算法中以减小搜索空间的大小,并将其应用于水分配网络中的泄漏最小化
机译:用DFP算法估算供水管网节点需求。
机译:基于新启发式遗传算法模型的配水网泄漏检测
机译:需求模式和泄漏识别水分布网络
机译:使用遗传算法设计可靠的供水网络
机译:基于遗传算法的供水管网泄漏位置最优传感器布置。
机译:基于新启发式遗传算法模型的配水网泄漏检测