A classification of dynamic multi-objective optimization problems

Authors:
Alexandru-Adrian Tantar;Emilia Tantar;Pascal Bouvry
Affiliations:
University of Luxembourg, Luxembourg, Luxembourg;University of Luxembourg, Luxembourg, Luxembourg;University of Luxembourg, Luxembourg, Luxembourg
Venue:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Year:
2011

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Abstract

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.