Multi-objective optimization of spatial sampling using a new hybrid AMOSA_NSGA-II algorithm

While many studies of spatial sampling have focused on optimizing only one objective, in many real-life problems, more than one objective is required to be simultaneously optimized. Hence, using multi-objective optimization techniques in spatial sampling is considerably increasing. In this paper, tw...

Ausführliche Beschreibung