Naujoks, BorisPreuss, MikeRudolph, Günter2009-05-122009-05-122006-05http://hdl.handle.net/2003/2611310.17877/DE290R-698Recent research on evolutionary multiobjective optimization has mainly focused on Pareto-fronts. However, we state that proper behavior of the utilized algorithms in decision/search space is necessary for obtaining good results if multimodal objective functions are concerned. Therefore, it makes sense to observe the development of Pareto-sets as well. We do so on a simple, configurable problem, and detect interesting interactions between induced changes to the Pareto-set and the ability of three optimization algorithms to keep track of Pareto-fronts.enReihe CI; 205-06004report