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 。
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.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2002年第1期41-44,共4页
Transactions of the Chinese Society of Agricultural Engineering
