Title :
Bird Occupancy Model and Algorithm for Timetable Planning Based on Swarm Intelligence
Author :
Zeng, Li ; Chen, Xue-Bo ; Xu, Wangbao ; Su, Xiaoying
Author_Institution :
Sch. of Electron. & Inf. Eng., Anshan Univ. of Sci. & Technol.
Abstract :
Based on biological swarm intelligence, a bird occupancy model for university timetable planning is proposed in this paper. The model is analogous to the behavior and regularity of flocks of birds occupying space-time resources when they inhabit. Corresponding to this swarm intelligence model, an algorithm of university timetable planning is presented, which can automatically plan timetables and consider the problem of deadlocks by coordination when the plan is in progress
Keywords :
artificial intelligence; education; particle swarm optimisation; planning (artificial intelligence); biological swarm intelligence; bird occupancy algorithm; bird occupancy model; deadlock problem; space-time resources; university timetable planning; Automation; Biological system modeling; Biology; Birds; Electronic mail; Intelligent control; Particle swarm optimization; Space technology; System recovery; Technology planning; Timetable planning; bird occupancy algorithm; coordination; swarm intelligence;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712830
