Library Electronic Resource Scheduling Research based on Ant Colony Algorithm

JunWei Ge, Xinxiu Cheng, Yiqiu Fang
2015 Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy   unpublished
By studying ant colony algorithm, aiming at the library electronic resources storage sharing system, proposed an improved ant colony algorithm based on cloud storage, so that the system allocate tasks can be performed more efficiently, and raise the scheduling performance of the overall architecture. Proved by experiments, this ant colony algorithm can rapidly find the resources that customer needed.
doi:10.2991/icismme-15.2015.184 fatcat:4ykszc26ajdglhthxjddhyv42u