Convergence at different batch sizes with the same total evaluation budget of 24 x 8. a) ZDT1. b) ZDT2. c) ZDT3. d) MW7. We omitted qNEHVI for batch of 16 due to prohibitively high computation cost when scaling up. Plots are taken with mean and 95% confidence interval of log10(HVmax - HVcurrent), with HVmax being computed from known PF in pymoo. We follow the same details as for Figure 5. Results suggest that qNEHVI works better with low batching on disconnected PF.