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.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

2589

Lastpage

2593

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712830

Filename

1712830