Abstract
Model-based Genetic Algorithms (MBGAs) represent a class of GAs which use probabilistic models to enable the development of more effective search operators. Although these algorithms show significant results in single-objective optimization, their adaptation to the multiobjective context, in general, have not shown the same success. In this project we investigate the main difficulties fac…