Visualization with prosections is a visualization method that uses prosection (projection of a section) to visualize 4D approximation sets in 3D. The method adequately reproduces the shape, range and distribution of vectors in the observed approximation sets and can handle multiple large approximation sets while being robust and computationally inexpensive. Even more importantly, for numerous vectors, the visualization with prosections preserves the Pareto dominance relation and relative closeness to reference vectors.
For more information see:
- T. Tušar and B. Filipič. Visualization of Pareto front approximations in evolutionary multiobjective optimization: A critical review and the prosection method. IEEE Transactions on Evolutionary Computation, 19(2):225-245, 2015. [download]
- T. Tušar. Visualizing Solution Sets in Multiobjective Optimization. Ph.D. Thesis, Jožef Stefan International Postgraduate School, Ljubljana, Slovenia, 2014. [download]
This repository contains:
- A python implementation of visualization with prosections
- Some 4D approximation sets (in the
datafolder)