Research on invulnerability of urban transit network based on complex network
基于复杂网络的城市公交网络抗毁性分析*

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.