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A class-level automated multi-objective search-based system using SPEA-2 achieved higher precision and recall than NSGA-II and MOEA/D for bug localization

Results indicate that SPEA-2 achieved higher precision and recall than both multi-objective and single-objective baseline methods.
Neural and Evolutionary Computing30 Aug 2026

http://arxiv.org/abs/2608.27089v1