Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic

摘要

The efficient performance of elevator group system controllersbecomes a first order necessity when the buildings have a high utilisation ratioof the elevators, such as in professional buildings. We present a geneticalgorithm that is compared with traditional controller algorithms in industryapplications. An ARENA simulation scenario is created during heavylunchpeak traffic conditions. The results allow us to affirm that our geneticalgorithm reaches a better performance attending to the system waiting timesthan THV algorithm.