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Abstract: For large-scale multiobjective evolutionary algorithms (LSMOEAs), maintaining algorithmic performance to generate high-quality solutions while continuously increasing the dimensionality of ...

Abstract: Utilizing the unbiasedness criterion, this article proposes a bias-compensated normalized Euclidean direction search (BC-NEDS) algorithm with noisy inputs, which can effectively mitigate the ...