Appendix APerformanceonreal-worldbasedinstances

We further evaluate SGBS+EAS on nine real-world based instance sets from [15]. Each instance set consists of 20 instances that have similar characteristics (i.e., they have been sampled from the same underlying distribution). To account for this new evaluation setting, we always perform 10 runs in parallel for EAS and SGBS+EAS. This improves the solution quality, while leading only to a slight increase of the requiredruntime. For SGBS+EAS we set (β, γ) = (35,5), the learning rate α = 0.005 and λ = 0.05.