Zhou Rongmin, Lei Yanfeng, Lin Xingcui. Genetic Optimization Layout and Artificial Neural Networks Optimal Design of Pressurized Tree Water-Pipe Network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2002, 18(1): 41-44.
    Citation: Zhou Rongmin, Lei Yanfeng, Lin Xingcui. Genetic Optimization Layout and Artificial Neural Networks Optimal Design of Pressurized Tree Water-Pipe Network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2002, 18(1): 41-44.

    Genetic Optimization Layout and Artificial Neural Networks Optimal Design of Pressurized Tree Water-Pipe Network

    • Single Parent Genetic Algorithms(SPGA) and the method of Hopfield Neural Networks(HNN) were respectively applied to optimal layout and optimal design of pressurized tree pipe network which were able to acquire an optimal design scheme with minimum annual cost on the basis of the least cost optimal tree layout. And the study shows that the method is feasible and effective and can reduce the cost of pipe network project and improve the design level and design efficiency.
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