Abstract: Highlights•Random selection of test problems plus mixed-model ANOVA enables generalization.•Overcomes over-fitting on fixed artificial test problems.•Suitable for both single and multi-algorithm performance on whole problem classes.•Pairwise algorithm performance comparison with confidence intervals.
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