A classification of dynamic multi-objective optimization problems

A classification of dynamic multi-objective optimization problems is proposed in this article. As compared to previous studies, we focus not on the changes or the effects that are induced in the Pareto optimal front or set but on the components that lead to the observed dynamic behaviour. Four main classes are identified, including parameter and function time-dependent evolution as well as state-dependent parameter and function transforms or environment changes.