R. Dölling, H. Mielenz (Germany), and C.L.
Automotive Simulation, Evolutionary Algorithms, Efﬁ
cient Co-Simulation, InSiMS
Microelectronic products for automotive applications are
characterized by an ever-increasing level of integration
complexity concerning electronic and multi-physical sub
systems. Since the functional veriﬁcation of a developed
system is normally done by transient simulations, system
engineers have to integrate models of different physical dis
ciplines efﬁciently into one simulation environment. This
paper discusses the parameter optimization of a simulation
protocol for a multi-simulator co-simulation tool called In
SiMS, using a multiple-objective evolutionary algorithm.
Two objective functions are used to minimize the error for
the transient signals and to maximize the simulation speed
up compared to a set of nominal simulation runs. The ben
eﬁt of the proposed method will be illustrated by the simu
lation of a fuel injection system, consisting of a hydrome
chanic injector and an electromagnetic controller.