|Title:||Pareto set and EMOA behavior for simple multimodal multiobjective functions|
|Abstract:||Recent 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.|
|Appears in Collections:||Sonderforschungsbereich (SFB) 531|
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