TRUST-TAEA extends two-archive evolutionary algorithms with trustworthiness-guided coordination and variable-grouping for improved convergence, diversity, and stability on LSMOPs with 500-5000 variables.
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PaAno+ extends the original PaAno with multiscale feature extraction, cross-variable fusion attention, and a temporal patch sorting pretext task to report state-of-the-art results on the TSB-AD benchmark for univariate and multivariate anomaly detection.
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TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
TRUST-TAEA extends two-archive evolutionary algorithms with trustworthiness-guided coordination and variable-grouping for improved convergence, diversity, and stability on LSMOPs with 500-5000 variables.