Tutorials: Advances in Evolutionary Multi-Criterion Optimization

Started in early Nineties, evolutionary computation methods for solving multi-criterion optimization problems were increasingly adopted by researchers and practitioners alike. In this two-hour long tutorial, we shall briefly introduce early methods which started the field and focus more on recent methods which are currently used for research and applications. Related pragmatic topics, such as multi-criterion decision-making, visualization, innovization principles, surrogate-assisted methods, will be introduced. Case studies from industrial applications will also presented as a support of the importance and usefulness of this fast-growing field on multi-criterion optimization in practice.