Using desirability functions for many-objective optimization of a hybrid car controller
Yuka Ogino, Ryoya Iida, Tobias Rodemann · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2017
In this work we investigated the concept of desirability functions for a many-objective optimization of a hybrid car controller with five objectives from different domains. We study this problem from the perspective of preference expression. Specifically we are looking at the impact of wrongly defined desirabilities and how this can be corrected using a Graphical User Interface (GUI). Overall we find that a desirability-based many-objective optimization approach could be well suited for real-world problems with objectives from many domains as it is becoming more and more common in industrial settings.