@inproceedings {pub4028,
	title = {Addressing Complex Engineering Systems: The Value Of Evolvability
},
	author = {Stefan Menzel AND Timo Friedrich},
	year = {2019},
	month = {December},
	abstract = {While engineering systems in the automotive development process not only become increasingly complicated, the necessary consideration of time-dependencies shifts the focus furthermore towards system complexity. For an efficient decision-making flow, i.e. making the right decision at the right point in time, it is important to consider simultaneously both engineering paradigms {\textendash} on the one hand to accurately and computationally efficient solve the complicated part and, on the other hand, to smartly handle the complex part of a system {\textendash} as well as their interactions. Smart handling in the sense of allowing system openness, discovery and system preparation for solution portfolios is realizable by defining prerequisites and qualities of a system. Evolvability as one of these qualities is a major actor in complex systems engineering since it strengthens a system{\textquoteright}s state of readiness, the adaptation capability of a system towards structural changes over time.
In the present paper, paradigms and approaches for complicated and complex systems engineering are reviewed and discussed from a practitioner{\textquoteright}s point of view. The concept of evolvability and its practical relevance are highlighted by research examples on the evolvability of deformation methods as representations in evolutionary design optimization as well as on platform systems with respect to evolvable prototyping.},
	publisher = {IEEE},
	booktitle = {IEEE Symposium Series on Computational Intelligence}
}