1 research outputs found
On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms
This paper proposes the notion that the experimental results
and performance analyses of newly developed algorithms in the
field of multi-objective optimisation may not offer sufficient integrity for
hypothesis testing. This is demonstrated through the multiple comparison
of three implementations of the popular Non-dominated Sorting
Genetic Algorithm II (NSGA-II) from well-regarded frameworks using
the hypervolume indicator. The results show that of the thirty considered
comparison cases, only four indicate that there was no significant
difference between the performance of either implementation