TY  - BOOK
AU  - Le Minh Tuan
AU  - Nagarur,Nagendra N.
AU  - Pastijn,Hugo
AU  - Do,Ba Khang
ED  - Government of Belgium,
TI  - A genetic approach to class scheduling
T2  - Thesis
PY  - 1996///
CY  - Bangkok
PB  - Asian Institute of Technology
KW  - Genetic algorithms
KW  - Scheduling (Management)
N1  - A thesis submitted in partial fulfillment of the requirements  for the degree of Master of Engineering, School of Advanced Technologies; Thesis (M. Eng.) - Asian Institute of Technology, 1996
N2  - A genetic approach was applied for the solution of the model. The courses were grouped into  blocks, where each block represents a characteristic schedule of timeslot. The genetic  algorithm created a specific number of solutions and use the best features of these solutions to  form the offsprings. The developed genetic algorithm was used for solving the AIT class  scheduling problem. An implementation procedure is developed and described for using the  genetic algorithm software, and a detailed users manual is prepared for the software. The  algorithm is tested for its performance with respect to the population size, the number of  iterations, and the convergency. The developed algorithm is found to be very powerful and fast  in searching an optimal solution
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B14804
ER  -