The efficient performance of elevator group system controllers
becomes a first order necessity when the buildings have a high utilisation ratio
of the elevators, such as in professional buildings. We present a genetic
algorithm that is compared with traditional controller algorithms in industry
applications. An ARENA simulation scenario is created during heavy
lunchpeak traffic conditions. The results allow us to affirm that our genetic
algorithm reaches a better performance attending to the system waiting times
than THV algorithm
