Optimisation trajectory in objective space for a single optimisation run of 100 iterations x 8 points per batch.  a-b) Thin Film. c-d) Concrete Slump. across objective space for a single run of 100 iterations x 8 points per batch. The red line represents the PF. PFs for real-world datasets were virtually generated using NSGA-II for 500 generations with population size of 100. The colour of each experiment refers to the number of iterations. The results here corroborate the ‘wastage’ of solutions in qNEHVI, although which algorithm is superior appears to be problem dependent.