A logic approach to the resolution of constraints in timetabling

Article Abstract:

A proposed algorithm for the efficient timetabling of university courses focuses on the constraint resolution with first and second order constraints. It is designed to optimize existing resources and reduce the time to manually prepare and revise the schedules. Results show that the proposed algorithm is a feasible program for university course timetabling. Complex constraints are easily formulated and translated into WPROLOG with the execution time reduced by equivalent reversing.

Research, Software, Time perspective, Schedules, School, School schedules, Logic programming

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A comparison of discrete and continuous neural network approaches to solve the class/teacher timetabling problem

Article Abstract:

The application of neural network-based heuristics to the class/teacher timetabling problem (CTTP) is explored. Problem characteristics such as hard and soft constraints are presented and formulation for the energy function required to map the issue within the artificial neural network model is proposed.

Personnel administration, Usage, Evaluation, Teachers, Training, Neural networks, Scheduling (Management), Neural network

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