Abstract
A neural network which efficiently and nearly optimally solves combinatorial optimization problems was applied to the timetable problem. The network was tested on a real-world timetable problem. The results indicate that the Markovian neural network is an efficient and flexible tool for solving real-world combinatorial optimization problems such as construction of a timetable for high schools.
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