%0 Journal Article
%T Research on invulnerability of urban transit network based on complex network<br>基于复杂网络的城市公交网络抗毁性分析*
%A WANG Tao
%A WU Lin-li
%A <br>汪涛
%A 吴琳丽
%J 计算机应用研究
%D 2010
%I 
%X For the load distribution problem of hot strip rolling, this paper presented a novel optimization strategy. First proposed a new hybrid immune particle swarm optimization algorithm. Adjusted the population concentration through the clonal selection operator, so realized the high affinity of the individual and the diversity of the population. Then used this hybrid algorithm to optimize the load distribution to obtain the data of optimized pressing rate. Then constructed a neural network for load distribution calculation based on these data. Experiment results show that the proposed hybrid algorithm and optimization stra-tegy can achieve good performance and is practical for field application.
%K complex network
%K small-world network
%K transit network
%K invulnerability<br>复杂网络
%K 小世界网络
%K 公交网络
%K 抗毁性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8BD62EC0B9380430034E511E729B2C44&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=708DD6B15D2464E8&sid=518F553B720EC1A8&eid=DDBCE11DCA6A9E28&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9