The authors trace PSA-CMA-ES's step-size blow-up to its correction mechanism and propose a selective, scaled correction that improves CPU time and convergence on 2D Rastrigin and Schaffer functions.
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Improving population size adapting CMA-ES algorithm on step-size blow-up in weakly-structured multimodal functions
The authors trace PSA-CMA-ES's step-size blow-up to its correction mechanism and propose a selective, scaled correction that improves CPU time and convergence on 2D Rastrigin and Schaffer functions.