@inproceedings {pub2925,
	title = {A Weight Balanced Multi-Objective Topology Optimization for Automotive Development},
	author = {Nikola Aulig AND Emily Nutwell AND Stefan Menzel AND Duane Detwiler},
	year = {2015},
	month = {June},
	abstract = {Topology optimization in the field of automotive development strives for conceptual car components which are efficiently designed for multiple, partly conflicting loadings. Crashworthiness loadings typically require a maximization of energy absorption while static loadings typically require a minimization of compliance. The hybrid cellular automata algorithm which aims for a uniform distribution of the internal energy density offers an efficient solution for the single objective problems but may fail in case of large energy differences occurring in different load cases. Recently, it was demonstrated that a multi-objective optimization can be performed by linearly weighting and careful scaling of the load case energy levels. In this paper the approach is applied to the practical example of a vehicle control arm structure which is subject to two static load cases and a crash load case. Results demonstrate the practical feasibility of the proposed method. It yields a set of non-dominated trade-off solutions, facilitating to chose a suitable balance between crash safety and static requirements.},
	publisher = {Dynamore},
	booktitle = {European LS-DYNA Conference 2015},
	city = {W{\"u}rzburg}
}