A new approach for multi criteria design optimisation is presented in the paper. The problem tackled with this approach is the 2- dimensional design of an aircraft wing. To carry the derandomized step size control also to the multi criteria applications, four different selection schemes are proposed. Furthermore, we present a new method for averaging results of multi objective evolutionary algorithms. This method is then used to compare the results achieved with the proposed algorithms.
CITATION STYLE
Naujoks, B., Willmes, L., Bäck, T., & Haase, W. (2002). Evaluating multi-criteria evolutionary algorithms for airfoil optimisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2439, pp. 841–850). Springer Verlag. https://doi.org/10.1007/3-540-45712-7_81
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