MACODA: Many Criteria Optimization and Decision Analysis

Optimization problems with larger numbers of objective functions, so-called many-objective problems, differ in their characteristics from problems with smaller numbers of objectives – with important implications for traditional methods which were grounded in that latter context. The aim of this Lorentz Center workshop is to develop and disseminate a community-led research agenda for (evolutionary) many-criteria optimization that can lead to a step-change in our understanding of this important topic.