Curriculum Schedule Arrangement Solved by An Improved Immune Optimization Algorithm
Authors
Xiao-feng Li, An Shi, Jian-guo Luo
Corresponding Author
Xiao-feng Li
Available Online May 2014.
- DOI
- 10.2991/iccia.2012.8How to use a DOI?
- Keywords
- component,university timetabling problem, immune optimization algorithm, matrix coding
- Abstract
To solve the university timetabling problem (UTP) effectively, a immune algorithm-based solution for UTP was proposed. The mathematical model of UTP was expounded, a framework of immune algorithm was given, and simulation experiments were done to validate algorithm. Experimental result shows that proposed algorithm can solve the UTP effectively, and has the advantage of good application value.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiao-feng Li AU - An Shi AU - Jian-guo Luo PY - 2014/05 DA - 2014/05 TI - Curriculum Schedule Arrangement Solved by An Improved Immune Optimization Algorithm BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 34 EP - 38 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.8 DO - 10.2991/iccia.2012.8 ID - Li2014/05 ER -