DocumentCode :
2148838
Title :
Development of a timetabling software using soft-computing techniques with a case study
Author :
Sabri, M.F.M. ; Husin, M.H. ; Chai, S.K.
Author_Institution :
Fac. of Eng., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
Volume :
5
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
394
Lastpage :
397
Abstract :
Timetabling is the assigning of an event to a particular timeslot in a timetable. Timetabling becomes a problem when the assigning task becomes hard to be implied where certain specific requirements need to be fulfilled. Genetic Algorithm (GA) emerge as one automation timetabling method to solve timetabling problem by searching solution in multi-points and the ability to refine the existing solution to a better solution. The timetabling program is specifically designed and developed in MATLAB programming language based on simple GA method to solve the timetabling problem for the case study. The developed timetabling program hardly found a good timetable solution as the solution finding converges at one point. Result shows the simple GA is not applicable in timetabling problem with high constraints and limited free slots.
Keywords :
genetic algorithms; mathematics computing; programming languages; software engineering; uncertainty handling; Matlab programming language; automation timetabling method; genetic algorithm; soft-computing techniques; timetabling software development; Automation; Availability; Biological cells; Computer languages; Genetic algorithms; Job shop scheduling; MATLAB; Simulated annealing; Software algorithms; Testing; Genetic Algorithm; Timetabling program; automation timetabling method; soft computing technique;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451223
Filename :
5451223
Link To Document :
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