@inproceedings {pub3327,
	title = {Using Desirability Functions for Many-Objective Optimization of a Hybrid Car Controller},
	author = {Yuka Ogino AND Ryoya Iida AND Tobias Rodemann},
	year = {2017},
	month = {July},
	abstract = {In this work we investigate the recently proposed concept of desirability functions for a many-objective optimization of a prototypical application problem, a hybrid car controller where the seven objectives are from many different domains. We compare the results of the optimization with a standard optimization in terms of hypervolume and the ease with which a solution can be picked. We also analyze the impact of wrongly defined desirability functions like for example assigning zero desirability to all possible solutions.
We present a GUI that allows us to monitor the performance of the optimization while it is running and to adapt the desirability function depending on the current desirability distribution of solutions. Finally, we investigate the effect of automatically adapting the desirability functions to the current population.},
	publisher = {ACM},
	booktitle = {GECCO 2017 Conference Companion}
}