Data Visualization in Many Objective Optimization Problems (MaOPs)
Data Visualization in high-dimensional spaces is a great challenge and an important tool for decision-making. The method of Aggregation Trees was an important step in visualization in MaOPs, allowing a greater understanding of the problem. This method is based on the sequential aggregation of objectives, which is visually represented into a tree, based on a measure of conflict between pairs of (groups of) objectives. The method allows the visualization of a hierarchy for aggregation of the objectives, with possibility to create new constraints for the problem or reduce the number of objectives in a further analysis (Silva2016).