This paper presents a Pareto Genetic Algorithm for multiobjective optimisation in electrical engineering design. Through a simple electromechanical system, based on an inverter-permanent magnet motor-reducer-load association described by analytical models, we discuss the efficiency and advantages of such methods. We have chosen a rather simplified case study, to emphasise advantages of this approach for optimisation issues as well as a better understanding of system couplings
