Over the last ten years, Multi-Objective Evolutionary Algorithms (MOEAs) have undergone tremendous development and have been successfully applied in various fields to solve complex problems that were formulated typically with two or three objectives. However, an increasingly expanding basis of our knowledge of natural processes and engineering requirements, and the need of taking into account sustainability indicators in order to compensate for the socio-environmental damage caused by the human activity, has increasingly led to formulation of the real world optimisation problems requiring a large number of management criteria.