Six modular CMA-ES variants produce nearly identical algorithm footprints on 24 BBOB problems; the worst variant's distinct behavior is traced to ill-conditioning features such as eps.max and lin_simple.coef.max.
An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions,
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Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes
Six modular CMA-ES variants produce nearly identical algorithm footprints on 24 BBOB problems; the worst variant's distinct behavior is traced to ill-conditioning features such as eps.max and lin_simple.coef.max.