基于蜂群算法的移动agent迁移策略研究*

旅行agent问题是一个复杂的组合优化问题，在于解决保证agent在不同主机间移动时如何根据任务情况规划路线，实现在完成任务时间最短的路线上迁移。采用进化算法的搜索求解具有启发性强、鲁棒性强的特点，但也面临着陷于局部最优解，导致agent在迁移过程中整体任务完成效率降低等问题。提出了一种基于蜂群算法的agent迁移模型，将agent划分为侦察、引领和跟随三种角色，agent通过彼此间的信息互换，在群体迁移的过程中同时实施新路径的发现和调整。实验结果表明，该算法可以很好地实现目标寻径效率，与经典蚁群算法相比

Application for artificial bee algorithm in migration of mobile agent

As to the problem of Chinese text classification, it was used to extract classification rules. To solve the premature problem of PSO, utilized the ergodicity and randomicity of chaos to improve the conventional PSO algorithm, then proposed a new text classification method based on chaos-PSO. Experiment results show that this method is feasible for Chinese text categorization, it has good precision and high time efficiency.