压力输水树状管网遗传优化布置和神经网络优化设计
Genetic Optimization Layout and Artificial Neural Networks Optimal Design of Pressurized Tree Water-Pipe Network
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摘要: 分别应用单亲遗传算法和Hopfield神经网络方法进行机压式树状管网的优化布置和优化设计,能够在管网投资最小的最优树状管网布置形式上,获得年费用最低的最优设计方案。研究表明:该方法是可行的和有效的,能减小管网工程投资,提高设计水平和设计效率Abstract: 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.