haku: @indexterm timetabling / yhteensä: 51
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Tekijä:Carrasco, M.P.
Pato, M.V.
Otsikko:A comparison of discrete and continuous neural network approaches to solve the class/teacher timetabling problem
Lehti:European Journal of Operational Research
2004 : FEB, VOL. 153:1, p. 65-79
Asiasana:Timetabling
Scheduling
Neural networks
Educational institutions
Kieli:eng
Tiivistelmä:This study explores the application of neural network-based heuristics to the class/teacher timetabling problem (CTTP). In this paper the authors consider the scheduling of a set of lessons (class/teacher assignments) subject to hard and soft constraints, and can be modelled in the context of combinatorial optimization. The authors present an experimental comparison of two neural network-based heuristics to tackle the problem. Experimental results on both real-life and randomly-generated instances show the advantages of these ingredients.
SCIMA tietueen numero: 254862
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