In this article, we present the solution to the simplified
problem of the European Space Agency’s (ESA) Cassini1
in both a continuous and a continuous-discrete search environment. The Cassini 1 model is initially simplified by
reducing the number of input variables, and then it is
expanded with a discrete variable. The resulting model
is referred to as Cassini 1’. Our contribution lies in the
performance comparison results of solving the Cassini 1’
problem in a continuous and mixed, continuous-discrete
search environment. We demonstrate that the performance of
solving mixed continuous-discrete models differs concerning
small changes in the discrete search environment compared
to the performance of solving continuous models. Thus, we
investigate the impact of choosing any planet among the
five planets in our solar system on the success of solving
this single-criteria continuous comparative model. In this
context, the success of solving the problem is measured by
the number of evaluations. Stopping criteria is a time of
3.600 seconds.
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