Genetic algorithms multiobjective optimization of a 2 DOF micro parallel robot

The aim of this study is to optimize a 2-dof micro parallel robot. Parallel robots potential is only then efficient exploited when their structure is optimal dimensioned from geometric point of view. So, their performances depend very strong on their geometry. Thus, optimization of the geometric parameters or optimal dimensioning has become an important issue for improving the parallel robots performances. Here, intended to show the advantages of using the GA, we applied it to an optimization problem of 2 DOF parallel robot. The obtained results have shown that the use of GA in such kind of optimization problem enhances the quality of the optimization outcome, providing a better and more realistic support for the decision maker.