Multi-Objective Optimisation of the Benchmark Wind Farm Layout Problem

Wind farm layout optimisation has become a very challenging and widespread problem in recent years. In many publications, the main goal is to achieve maximum power output minimum wind cost. This may be accomplished by applying single or multi-objective techniques. this paper, we apply objective hill-climbing algorithm (HCA) three evolutionary algorithms (NSGA-II, SPEA2 PESA-II) well-known benchmark proposed Mosetti et al., which includes different scenarios. We achieved better results single- algorithms. Furthermore, showed that best performing was NSGA-II. Finally, an extensive comparison of past publications made.