Improved performance in multi-objective optimization using external archive
We show that the use of an external archive, purely for storage purposes, can bring substantial benefits in multi-objective optimization. We first present a new scheme for archive management. We then combine it with the NSGA-II algorithm for solving multi-objective optimization problems and demonstrate significant improvement in performance. Furthermore, we show that the additional computational effort in handling the external archive is insignificant in problems for which objective functions are expensive to evaluate.