Initial experiments in visualization of empirical attainment function differences using maximum intensity projection
Tea Tušar, Bogdan Filipič · 2014
In multiobjective optimization, the Empirical Attainment Function (EAF) can be used to determine which areas of the objective space are attained by an optimization algorithm. If two algorithms are to be compared, differences in EAF values show which areas of the objective space are more often attained by one of the algorithms. While the visualization of EAF values and differences is rather straightforward in 2D, the 3D case presents a great challenge as we need to visualize a large number of 3D cuboids. This paper presents a method for computing the cuboids with constant EAF values and reports on initial experiments using Maximum Intensity Projection, a very-well known volume rendering technique used in medicine.