Multi-objective evolutionary algorithms for the design of grid-connected solar tracking systems
We address the problem of the optimization of the design in PV plants with trackers. MOEAs have been determined the most appropriate values to make up a PV plant. We find the NSGA-II algorithm as a promising technique to perform this optimization.
multi-objective evolutionary algorithms photovoltaic plants numerical optimization renewable energy