Automated Elimination of River Based on Multi-Objective Optimization Using Genetic Algorithm

作者: Tan Xiao , Wu Fang , Zhai Ren-jian

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摘要: Based on the structure characteristic of river network and principle selection,a new automated elimination model was established using genetic multi-object optimization algorithm.The structuring data facing system's spatial knowledge built firstly,and then auto-selected indicators including length,interval importance etc.and collectivity rivernetwork were taken into account when selecting river.The results show that method is reasonable valid,and more roboticized intelligent comparing with traditional method.

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