Using a genetic algorithm to define worst-best and best-worst options of a DEXi-type model: Application to the MASC model of cropping-system sustainability

► DEXi-like models are monotonic. ► Genetic algorithms can be used to find the best scenarios of DEXi-like models. ► The set of worst-best and best-worst scenarios is quite small when applied to the MASC model. ► The basic attributes with the highest sensitivity index are the most influential.