Vectorization assumes the conversion of constraints into objective functions. It turns a singleobjective, or scalar, optimization into a search for a Pareto optimal set, which will enhance the search for the optimum. Vectorization is studied here within a structural optimization of fast ferry’s midship section for the minimum of steel weight. Optimization applies a simple genetic algorithm (GA), whose performance is observed over both scalar and vectorized problem formulations. The obtained results show that the applied GA can improve the referenced design, and that the improvement can be signifi cantly better if vectorization is applied
