Authors: Andreas Beham, Monika Kofler, Stefan Wagner, Michael Affenzeller, Helga Heiss, Markus Vorderwinkler
This work concerns the automated synthesis of priority rules for schedule optimization. Metaheuristic optimizers, in particular genetic programming (GP), are applied to develop the rule system for several scheduling situations in manufacturing scenarios. In this work, the rules are enhanced with a ?no work? decision that leaves the deciding entity in a waiting state. Through simulation experiments it is shown how this enables the rule system to achieve a wider range of solutions.