Pursuit of better results for the examination timetabling problem using grid resources

Examination timetabling for universities is a difficult optimization problem with its main objective being to produce the best possible schedule for every student participating. Metaheuristics are a common way of coping with this problem mainly due to their flexibility in adapting to complex real world situations. In this contribution, Grid resources are exploited in order to locate solutions that might have been unreachable in a reasonable time using the processing power of a single computer.