Optimization of room allocation plans at the university Duisburg-Essen with a regulatory algorithm

Abstract

We describe a new evolutionary algorithm, namely the regulatory algorithm (RGA), a two dimensional extension of standard evolutionary algorithms. Its possibilities are shown by an application to the problem of optimizing room allocation plans with real data from the University Duisburg-Essen (Germany). The results of the RGA application match in most cases the factual room allocations of the university and are in several cases better, i.e. the RGA results fulfill more necessary conditions.